Last updated on 2024-12-23 12:49:38 CET.
| Package | ERROR | WARN | NOTE | OK |
|---|---|---|---|---|
| censReg | 13 | |||
| frontier | 13 | |||
| linprog | 13 | |||
| micEcon | 3 | 10 | ||
| micEconAids | 13 | |||
| micEconCES | 13 | |||
| micEconDistRay | 13 | |||
| micEconIndex | 1 | 12 | ||
| micEconSNQP | 13 | |||
| miscTools | 1 | 9 | 3 | |
| mvProbit | 1 | 12 | ||
| sampleSelection | 1 | 1 | 10 | 1 |
| systemfit | 1 | 12 | ||
| urbin | 13 |
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: NOTE: 13
Version: 0.9-4
Check: Rd files
Result: NOTE
checkRd: (-1) solveLP.Rd:119: Escaped LaTeX specials: \&
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Current CRAN status: NOTE: 3, OK: 10
Version: 0.6-18
Check: Rd cross-references
Result: NOTE
Found the following Rd file(s) with Rd \link{} targets missing package
anchors:
translogCheckCurvature.Rd: semidefiniteness, quasiconvexity,
quasiconcavity
Please provide package anchors for all Rd \link{} targets not in the
package itself and the base packages.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: ERROR: 1, OK: 12
Version: 0.1-8
Check: tests
Result: ERROR
Running ‘indices.R’ [1s/1s]
Running the tests in ‘tests/indices.R’ failed.
Complete output:
> library( "micEconIndex" )
> options( digits = 4, warn = 1 )
>
> ## function for printIndexing indices
> printIndices <- function( what, ... ) {
+ for( i in c( "Laspeyres", "Paasche", "Fisher" ) ) {
+ cat( "\n", i, "\n" )
+ if( what == "p" ) {
+ index <- priceIndex( ..., method = i, weights = TRUE )
+ } else {
+ index <- quantityIndex( ..., method = i, weights = TRUE )
+ }
+ print( index )
+ testRowSums <- rowSums( attributes( index )$weights[ !is.na( index ), ] )
+ names( testRowSums ) <- NULL
+ if( all.equal( testRowSums,
+ rep( 1, sum( !is.na( index ) ) ) ) != TRUE ) {
+ cat( "\nrowSums are not equal to one!!!\n\n" )
+ }
+ }
+ }
>
> ## Missong03E7.7
> if( requireNamespace( 'micEcon', quietly = TRUE ) ) {
+ data( Missong03E7.7, package = "micEcon" )
+ ## price indices for Missong03E7.7
+ printIndices( "p", c( "p.beef", "p.veal", "p.pork" ),
+ c( "q.beef", "q.veal", "q.pork" ), 1, Missong03E7.7 )
+
+ ## quantity indices for Missong03E7.7
+ printIndices( "q", c( "p.beef", "p.veal", "p.pork" ),
+ c( "q.beef", "q.veal", "q.pork" ), 1, Missong03E7.7 )
+ }
Laspeyres
1986 1987 1988 1989
1.0000 0.9840 0.9967 1.1255
attr(,"weights")
p.beef p.veal p.pork
1986 0.3076 0.01992 0.6724
1987 0.3101 0.02063 0.6692
1988 0.3177 0.02161 0.6607
1989 0.3060 0.02078 0.6733
Paasche
1986 1987 1988 1989
1.0000 0.9840 0.9966 1.1251
attr(,"weights")
p.beef p.veal p.pork
1986 0.3076 0.01992 0.6724
1987 0.3082 0.02063 0.6711
1988 0.3254 0.01727 0.6574
1989 0.3107 0.01358 0.6757
Fisher
1986 1987 1988 1989
1.0000 0.9840 0.9966 1.1253
attr(,"weights")
p.beef p.veal p.pork
1986 0.3076 0.01992 0.6724
1987 0.3092 0.02063 0.6702
1988 0.3215 0.01944 0.6590
1989 0.3084 0.01718 0.6745
Laspeyres
1986 1987 1988 1989
1.0000 0.9706 0.8833 0.7429
attr(,"weights")
q.beef q.veal q.pork
1986 0.3076 0.01992 0.6724
1987 0.3057 0.01992 0.6744
1988 0.3151 0.01592 0.6690
1989 0.3123 0.01301 0.6746
Paasche
1986 1987 1988 1989
1.0000 0.9706 0.8833 0.7427
attr(,"weights")
q.beef q.veal q.pork
1986 0.3076 0.01992 0.6724
1987 0.3082 0.02063 0.6711
1988 0.3254 0.01727 0.6574
1989 0.3107 0.01358 0.6757
Fisher
1986 1987 1988 1989
1.0000 0.9706 0.8833 0.7428
attr(,"weights")
q.beef q.veal q.pork
1986 0.3076 0.01992 0.6724
1987 0.3070 0.02028 0.6728
1988 0.3202 0.01660 0.6632
1989 0.3115 0.01330 0.6752
>
> ## Bleymueller79E25.1
> if( requireNamespace( 'micEcon', quietly = TRUE ) ) {
+ data( Bleymueller79E25.1, package = "micEcon" )
+ ## price indices for Bleymueller79E25.1
+ printIndices( "p", c( "p.A", "p.B", "p.C", "p.D" ),
+ c( "q.A", "q.B", "q.C", "q.D" ), 1, Bleymueller79E25.1 )
+
+ ## quantity indices for Bleymueller79E25.1
+ printIndices( "q", c( "p.A", "p.B", "p.C", "p.D" ),
+ c("q.A", "q.B", "q.C", "q.D" ), 1, Bleymueller79E25.1 )
+ }
Laspeyres
1970 1974 1978
1.000 1.697 1.887
attr(,"weights")
p.A p.B p.C p.D
1970 0.3077 0.1538 0.1282 0.4103
1974 0.3021 0.1088 0.2266 0.3625
1978 0.3397 0.1141 0.1766 0.3696
Paasche
1970 1974 1978
1.000 1.582 1.799
attr(,"weights")
p.A p.B p.C p.D
1970 0.3077 0.1538 0.1282 0.4103
1974 0.3200 0.2400 0.1600 0.2800
1978 0.3226 0.2516 0.1438 0.2820
Fisher
1970 1974 1978
1.000 1.639 1.843
attr(,"weights")
p.A p.B p.C p.D
1970 0.3077 0.1538 0.1282 0.4103
1974 0.3111 0.1744 0.1933 0.3213
1978 0.3311 0.1829 0.1602 0.3258
Laspeyres
1970 1974 1978
1.000 1.215 1.546
attr(,"weights")
q.A q.B q.C q.D
1970 0.3077 0.1538 0.12821 0.4103
1974 0.3038 0.3165 0.08439 0.2954
1978 0.2786 0.3234 0.09950 0.2985
Paasche
1970 1974 1978
1.000 1.133 1.474
attr(,"weights")
q.A q.B q.C q.D
1970 0.3077 0.1538 0.1282 0.4103
1974 0.3200 0.2400 0.1600 0.2800
1978 0.3226 0.2516 0.1438 0.2820
Fisher
1970 1974 1978
1.000 1.173 1.510
attr(,"weights")
q.A q.B q.C q.D
1970 0.3077 0.1538 0.1282 0.4103
1974 0.3119 0.2782 0.1222 0.2877
1978 0.3006 0.2875 0.1216 0.2903
>
> ## Electricity (Christensen & Greene 1976)
> if( requireNamespace( 'Ecdat', quietly = TRUE ) ) {
+ data( "Electricity", package = "Ecdat" )
+ Electricity <- Electricity[ 1:35, ]
+ ## preparing electricity data
+ pNames <- c( "pl", "pk", "pf" )
+ qNames <- c( "ql", "qk", "qf" )
+ sNames <- c( "sl", "sk", "sf" )
+ for( i in 1:3 ) {
+ Electricity[[ qNames[ i ] ]] <- Electricity[[ sNames[ i ] ]] *
+ Electricity[[ "cost" ]] / Electricity[[ pNames[ i ] ]]
+ }
+ allObs <- !is.na( Electricity$pl )
+
+ ## price indices for Electricity data
+ printIndices( "p", pNames, qNames, 1, Electricity )
+
+ ## quantity indices for Electricity data
+ printIndices( "q", pNames, qNames, 1, Electricity )
+
+ ## price indices for Electricity data and base=mean
+ printIndices( "p", pNames, qNames, allObs, Electricity )
+
+ ## quantity indices for Electricity data and base=mean
+ printIndices( "q", pNames, qNames, allObs, Electricity )
+ }
>
> ## Electricity data with some NA prices
> ## manipulating data of Electricity data
> if( requireNamespace( 'micEcon', quietly = TRUE ) ) {
+ ElectricityNaP <- Electricity
+ for( i in 1:3 ) {
+ ElectricityNaP[[ pNames[ i ] ]][ c( 2, i * 4, i * 8 ) ] <- NA
+ }
+
+ ## price indices for Electricity data with some NA prices
+ printIndices( "p", pNames, qNames, 1, ElectricityNaP )
+
+ ## quantity indices for Electricity data with some NA prices
+ printIndices( "q", pNames, qNames, 1, ElectricityNaP )
+
+ ## price indices for Electricity data with some NA prices and na.rm=TRUE
+ printIndices( "p", pNames, qNames, 1, ElectricityNaP, na.rm = TRUE )
+
+ ## quantity indices for Electricity data with some NA prices and na.rm=TRUE
+ printIndices( "q", pNames, qNames, 1, ElectricityNaP, na.rm = TRUE )
+
+ ## price indices for Electricity data with some NA prices and base=mean
+ printIndices( "p", pNames, qNames, 16, ElectricityNaP )
+
+ ## quantity indices for Electricity data with some NA prices and base=mean
+ printIndices( "q", pNames, qNames, allObs, ElectricityNaP )
+
+ ## price indices for Electricity data with some NA prices and na.rm=TRUE and base=mean
+ printIndices( "p", pNames, qNames, allObs, ElectricityNaP, na.rm = TRUE )
+
+ ## quantity indices for Electricity data with some NA prices and na.rm=TRUE and base=mean
+ printIndices( "q", pNames, qNames, allObs, ElectricityNaP, na.rm = TRUE )
+ }
Error: object 'Electricity' not found
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Current CRAN status: OK: 13
Current CRAN status: ERROR: 1, NOTE: 9, OK: 3
Version: 0.6-28
Check: Rd files
Result: NOTE
checkRd: (-1) sumKeepAttr.Rd:19: Lost braces
19 | (only relevant if code{x} has only one element).}
| ^
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
Version: 0.6-28
Check: examples
Result: ERROR
Running examples in ‘miscTools-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: colMedians
> ### Title: Medians of Columns
> ### Aliases: colMedians
> ### Keywords: array
>
> ### ** Examples
>
> data( "Electricity", package = "Ecdat" )
Error in find.package(package, lib.loc, verbose = verbose) :
there is no package called ‘Ecdat’
Calls: data -> find.package
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.6-28
Check: tests
Result: ERROR
Running ‘colMediansTest.R’ [0s/0s]
Running ‘ddnormTest.R’ [0s/0s]
Comparing ‘ddnormTest.Rout’ to ‘ddnormTest.Rout.save’ ... OK
Running ‘insertColRow.R’ [0s/0s]
Comparing ‘insertColRow.Rout’ to ‘insertColRow.Rout.save’ ... OK
Running ‘lmMethods.R’ [0s/0s]
Comparing ‘lmMethods.Rout’ to ‘lmMethods.Rout.save’ ... OK
Running ‘margEffTest.R’ [0s/0s]
Comparing ‘margEffTest.Rout’ to ‘margEffTest.Rout.save’ ... OK
Running ‘semidefTest.R’ [0s/0s]
Comparing ‘semidefTest.Rout’ to ‘semidefTest.Rout.save’ ... OK
Running ‘stdErTests.R’ [0s/0s]
Comparing ‘stdErTests.Rout’ to ‘stdErTests.Rout.save’ ... OK
Running ‘sumKeepAttrTest.R’ [0s/0s]
Comparing ‘sumKeepAttrTest.Rout’ to ‘sumKeepAttrTest.Rout.save’ ... OK
Running ‘summarizeDF_tests.R’ [0s/0s]
Comparing ‘summarizeDF_tests.Rout’ to ‘summarizeDF_tests.Rout.save’ ... OK
Running the tests in ‘tests/colMediansTest.R’ failed.
Complete output:
> library( "miscTools" )
>
>
> ## matrix
> m <- matrix( 1:24, nrow = 6, ncol = 4 )
>
> cm1 <- colMedians( m )
> print( cm1 )
[1] 3.5 9.5 15.5 21.5
>
> rm1 <- rowMedians( m )
> print( rm1 )
[1] 10 11 12 13 14 15
>
> all.equal( cm1, rowMedians( t( m ) ) )
[1] TRUE
> all.equal( rm1, colMedians( t( m ) ) )
[1] TRUE
>
>
> ## data.frame
> data( "Electricity", package = "Ecdat" )
Error in find.package(package, lib.loc, verbose = verbose) :
there is no package called 'Ecdat'
Calls: data -> find.package
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Current CRAN status: NOTE: 1, OK: 12
Version: 0.1-10
Check: Rd cross-references
Result: NOTE
Package unavailable to check Rd xrefs: ‘sampleSelection’
Flavor: r-oldrel-macos-x86_64
Current CRAN status: ERROR: 1, WARN: 1, NOTE: 10, OK: 1
Version: 1.2-12
Check: Rd files
Result: NOTE
checkRd: (-1) binaryChoice.Rd:105: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binaryChoice.Rd:106: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binaryChoice.Rd:111: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binaryChoice.Rd:112: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binaryChoice.Rd:113: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binaryChoice.Rd:114: Lost braces in \itemize; \value handles \item{}{} directly
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
Version: 1.2-12
Check: tests
Result: NOTE
Running ‘Mroz87SelectionTest.R’ [5s/6s]
Comparing ‘Mroz87SelectionTest.Rout’ to ‘Mroz87SelectionTest.Rout.save’ ... OK
Running ‘binarySelectionOutcome.R’ [15s/19s]
Comparing ‘binarySelectionOutcome.Rout’ to ‘binarySelectionOutcome.Rout.save’ ... OK
Running ‘fail.R’ [2s/3s]
Comparing ‘fail.Rout’ to ‘fail.Rout.save’ ... OK
Running ‘heckitIvTest.R’ [3s/3s]
Comparing ‘heckitIvTest.Rout’ to ‘heckitIvTest.Rout.save’ ... OK
Running ‘intervalTest.R’ [18s/25s]
Comparing ‘intervalTest.Rout’ to ‘intervalTest.Rout.save’ ... OK
Running ‘invMillsRatioTest.R’ [20s/25s]
Comparing ‘invMillsRatioTest.Rout’ to ‘invMillsRatioTest.Rout.save’ ...60a61
>
Running ‘probit.R’ [4s/4s]
Comparing ‘probit.Rout’ to ‘probit.Rout.save’ ... OK
Running ‘selection.R’ [14s/15s]
Comparing ‘selection.Rout’ to ‘selection.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.2-12
Check: examples
Result: ERROR
Running examples in ‘sampleSelection-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: selection
> ### Title: Heckman-style selection and treatment effect models
> ### Aliases: selection heckit treatReg
> ### Keywords: models regression
>
> ### ** Examples
>
> ## Greene( 2003 ): example 22.8, page 786
> data( Mroz87 )
> Mroz87$kids <- ( Mroz87$kids5 + Mroz87$kids618 > 0 )
> # Two-step estimation
> summary( heckit( lfp ~ age + I( age^2 ) + faminc + kids + educ,
+ wage ~ exper + I( exper^2 ) + educ + city, Mroz87 ) )
--------------------------------------------
Tobit 2 model (sample selection model)
2-step Heckman / heckit estimation
753 observations (325 censored and 428 observed)
14 free parameters (df = 740)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -4.157e+00 1.402e+00 -2.965 0.003127 **
age 1.854e-01 6.597e-02 2.810 0.005078 **
I(age^2) -2.426e-03 7.735e-04 -3.136 0.001780 **
faminc 4.580e-06 4.206e-06 1.089 0.276544
kidsTRUE -4.490e-01 1.309e-01 -3.430 0.000638 ***
educ 9.818e-02 2.298e-02 4.272 2.19e-05 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.9712003 2.0593505 -0.472 0.637
exper 0.0210610 0.0624646 0.337 0.736
I(exper^2) 0.0001371 0.0018782 0.073 0.942
educ 0.4170174 0.1002497 4.160 3.56e-05 ***
city 0.4438379 0.3158984 1.405 0.160
Multiple R-Squared:0.1264, Adjusted R-Squared:0.116
Error terms:
Estimate Std. Error t value Pr(>|t|)
invMillsRatio -1.098 1.266 -0.867 0.386
sigma 3.200 NA NA NA
rho -0.343 NA NA NA
--------------------------------------------
> # ML estimation
> summary( selection( lfp ~ age + I( age^2 ) + faminc + kids + educ,
+ wage ~ exper + I( exper^2 ) + educ + city, Mroz87 ) )
--------------------------------------------
Tobit 2 model (sample selection model)
Maximum Likelihood estimation
Newton-Raphson maximisation, 5 iterations
Return code 8: successive function values within relative tolerance limit (reltol)
Log-Likelihood: -1581.258
753 observations (325 censored and 428 observed)
13 free parameters (df = 740)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -4.120e+00 1.401e+00 -2.942 0.003368 **
age 1.840e-01 6.587e-02 2.794 0.005345 **
I(age^2) -2.409e-03 7.723e-04 -3.119 0.001886 **
faminc 5.680e-06 4.416e-06 1.286 0.198782
kidsTRUE -4.506e-01 1.302e-01 -3.461 0.000568 ***
educ 9.528e-02 2.315e-02 4.115 4.3e-05 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.9630242 1.1982209 -1.638 0.102
exper 0.0278683 0.0615514 0.453 0.651
I(exper^2) -0.0001039 0.0018388 -0.056 0.955
educ 0.4570051 0.0732299 6.241 7.33e-10 ***
city 0.4465290 0.3159209 1.413 0.158
Error terms:
Estimate Std. Error t value Pr(>|t|)
sigma 3.1084 0.1138 27.307 <2e-16 ***
rho -0.1320 0.1651 -0.799 0.424
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
>
> ## Example using binary outcome for selection model.
> ## We estimate the probability of womens' education on their
> ## chances to get high wage (> $5/hr in 1975 USD), using PSID data
> ## We use education as explanatory variable
> ## and add age, kids, and non-work income as exclusion restrictions.
> data(Mroz87)
> m <- selection(lfp ~ educ + age + kids5 + kids618 + nwifeinc,
+ wage >= 5 ~ educ, data = Mroz87 )
> summary(m)
--------------------------------------------
Tobit 2 model with binary outcome (sample selection model)
Maximum Likelihood estimation
BHHH maximisation, 8 iterations
Return code 8: successive function values within relative tolerance limit (reltol)
Log-Likelihood: -653.2037
753 observations (325 censored and 428 observed)
9 free parameters (df = 744)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.430362 0.475966 0.904 0.366
educ 0.156223 0.023811 6.561 1.00e-10 ***
age -0.034713 0.007649 -4.538 6.61e-06 ***
kids5 -0.890560 0.112663 -7.905 9.69e-15 ***
kids618 -0.038167 0.039320 -0.971 0.332
nwifeinc -0.020948 0.004318 -4.851 1.49e-06 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -4.5213 0.5611 -8.058 3.08e-15 ***
educ 0.2879 0.0369 7.800 2.09e-14 ***
Error terms:
Estimate Std. Error t value Pr(>|t|)
rho 0.1164 0.2706 0.43 0.667
--------------------------------------------
>
>
> ## example using random numbers
> library( "mvtnorm" )
> nObs <- 1000
> sigma <- matrix( c( 1, -0.7, -0.7, 1 ), ncol = 2 )
> errorTerms <- rmvnorm( nObs, c( 0, 0 ), sigma )
> myData <- data.frame( no = c( 1:nObs ), x1 = rnorm( nObs ), x2 = rnorm( nObs ),
+ u1 = errorTerms[ , 1 ], u2 = errorTerms[ , 2 ] )
> myData$y <- 2 + myData$x1 + myData$u1
> myData$s <- ( 2 * myData$x1 + myData$x2 + myData$u2 - 0.2 ) > 0
> myData$y[ !myData$s ] <- NA
> myOls <- lm( y ~ x1, data = myData)
> summary( myOls )
Call:
lm(formula = y ~ x1, data = myData)
Residuals:
Min 1Q Median 3Q Max
-3.1670 -0.6422 -0.0176 0.6851 3.1186
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.53676 0.06236 24.64 <2e-16 ***
x1 1.26069 0.05891 21.40 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.9922 on 472 degrees of freedom
(526 observations deleted due to missingness)
Multiple R-squared: 0.4925, Adjusted R-squared: 0.4914
F-statistic: 458 on 1 and 472 DF, p-value: < 2.2e-16
> myHeckit <- heckit( s ~ x1 + x2, y ~ x1, myData, print.level = 1 )
Tobit 2 model
> summary( myHeckit )
--------------------------------------------
Tobit 2 model (sample selection model)
2-step Heckman / heckit estimation
1000 observations (526 censored and 474 observed)
8 free parameters (df = 993)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.22904 0.06106 -3.751 0.000186 ***
x1 1.97384 0.12229 16.141 < 2e-16 ***
x2 1.01003 0.07930 12.737 < 2e-16 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.12355 0.10883 19.51 <2e-16 ***
x1 0.89186 0.08257 10.80 <2e-16 ***
Multiple R-Squared:0.5404, Adjusted R-Squared:0.5385
Error terms:
Estimate Std. Error t value Pr(>|t|)
invMillsRatio -0.9622 0.1318 -7.298 5.99e-13 ***
sigma 1.0750 NA NA NA
rho -0.8950 NA NA NA
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
>
> ## example using random numbers with IV/2SLS estimation
> library( "mvtnorm" )
> nObs <- 1000
> sigma <- matrix( c( 1, 0.5, 0.1, 0.5, 1, -0.3, 0.1, -0.3, 1 ), ncol = 3 )
> errorTerms <- rmvnorm( nObs, c( 0, 0, 0 ), sigma )
> myData <- data.frame( no = c( 1:nObs ), x1 = rnorm( nObs ), x2 = rnorm( nObs ),
+ u1 = errorTerms[ , 1 ], u2 = errorTerms[ , 2 ], u3 = errorTerms[ , 3 ] )
> myData$w <- 1 + myData$x1 + myData$u1
> myData$y <- 2 + myData$w + myData$u2
> myData$s <- ( 2 * myData$x1 + myData$x2 + myData$u3 - 0.2 ) > 0
> myData$y[ !myData$s ] <- NA
> myHeckit <- heckit( s ~ x1 + x2, y ~ w, data = myData )
> summary( myHeckit ) # biased!
--------------------------------------------
Tobit 2 model (sample selection model)
2-step Heckman / heckit estimation
1000 observations (527 censored and 473 observed)
8 free parameters (df = 993)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.15979 0.05860 -2.727 0.00651 **
x1 1.86891 0.11381 16.421 < 2e-16 ***
x2 0.98799 0.07971 12.394 < 2e-16 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.08092 0.09163 11.80 <2e-16 ***
w 1.45660 0.03713 39.23 <2e-16 ***
Multiple R-Squared:0.7841, Adjusted R-Squared:0.7832
Error terms:
Estimate Std. Error t value Pr(>|t|)
invMillsRatio 0.1829 0.1013 1.806 0.0713 .
sigma 0.9215 NA NA NA
rho 0.1984 NA NA NA
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
> myHeckitIv <- heckit( s ~ x1 + x2, y ~ w, data = myData, inst = ~ x1 )
> summary( myHeckitIv ) # unbiased
--------------------------------------------
Tobit 2 model (sample selection model)
2-step Heckman / heckit estimation
1000 observations (527 censored and 473 observed)
8 free parameters (df = 993)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.15979 0.05860 -2.727 0.00651 **
x1 1.86891 0.11381 16.421 < 2e-16 ***
x2 0.98799 0.07971 12.394 < 2e-16 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.0345 0.1067 19.07 <2e-16 ***
w 0.9785 0.0432 22.65 <2e-16 ***
Multiple R-Squared:0.7083, Adjusted R-Squared:0.707
Error terms:
Estimate Std. Error t value Pr(>|t|)
invMillsRatio -0.2891 0.1175 -2.46 0.0141 *
sigma 1.0767 NA NA NA
rho -0.2685 NA NA NA
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
>
> ## tobit-5 example
> N <- 500
> library(mvtnorm)
> vc <- diag(3)
> vc[lower.tri(vc)] <- c(0.9, 0.5, 0.6)
> vc[upper.tri(vc)] <- vc[lower.tri(vc)]
> eps <- rmvnorm(N, rep(0, 3), vc)
> xs <- runif(N)
> ys <- xs + eps[,1] > 0
> xo1 <- runif(N)
> yo1 <- xo1 + eps[,2]
> xo2 <- runif(N)
> yo2 <- xo2 + eps[,3]
> a <- selection(ys~xs, list(yo1 ~ xo1, yo2 ~ xo2))
> summary(a)
--------------------------------------------
Tobit 5 model (switching regression model)
Maximum Likelihood estimation
Newton-Raphson maximisation, 5 iterations
Return code 1: gradient close to zero (gradtol)
Log-Likelihood: -916.9684
500 observations: 157 selection 1 (FALSE) and 343 selection 2 (TRUE)
10 free parameters (df = 490)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.0534 0.1065 -0.501 0.616
xs 1.1250 0.1842 6.106 2.08e-09 ***
Outcome equation 1:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.07615 0.18201 0.418 0.676
xo1 0.92591 0.17272 5.361 1.28e-07 ***
Outcome equation 2:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01079 0.17850 -0.060 0.952
xo2 1.09098 0.17267 6.318 5.95e-10 ***
Error terms:
Estimate Std. Error t value Pr(>|t|)
sigma1 0.97959 0.10528 9.305 <2e-16 ***
sigma2 0.97087 0.06317 15.370 <2e-16 ***
rho1 0.88349 0.05759 15.341 <2e-16 ***
rho2 0.34270 0.30009 1.142 0.254
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
>
> ## tobit2 example
> vc <- diag(2)
> vc[2,1] <- vc[1,2] <- -0.7
> eps <- rmvnorm(N, rep(0, 2), vc)
> xs <- runif(N)
> ys <- xs + eps[,1] > 0
> xo <- runif(N)
> yo <- (xo + eps[,2])*(ys > 0)
> a <- selection(ys~xs, yo ~xo)
> summary(a)
--------------------------------------------
Tobit 2 model (sample selection model)
Maximum Likelihood estimation
Newton-Raphson maximisation, 3 iterations
Return code 8: successive function values within relative tolerance limit (reltol)
Log-Likelihood: -725.3648
500 observations (160 censored and 340 observed)
6 free parameters (df = 494)
Probit selection equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.1222 0.1095 1.115 0.265198
xs 0.7149 0.1955 3.657 0.000283 ***
Outcome equation:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01516 0.15424 -0.098 0.922
xo 0.87447 0.15769 5.545 4.78e-08 ***
Error terms:
Estimate Std. Error t value Pr(>|t|)
sigma 0.91843 0.08754 10.492 < 2e-16 ***
rho -0.60686 0.22383 -2.711 0.00694 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------
>
> ## Example for treatment regressions
> ## Estimate the effect of treatment on income
> ## selection outcome: treatment participation, logical (treatment)
> ## selection explanatory variables: age, education (years)
> ## unemployment in 1974, 1975, race
> ## outcome: log real income 1978
> ## outcome explanatory variables: treatment, age, education, race.
> ## unemployment variables are treated as exclusion restriction
> data(Treatment, package="Ecdat")
Error in find.package(package, lib.loc, verbose = verbose) :
there is no package called ‘Ecdat’
Calls: data -> find.package
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.2-12
Check: tests
Result: NOTE
Running ‘Mroz87SelectionTest.R’ [3s/4s]
Comparing ‘Mroz87SelectionTest.Rout’ to ‘Mroz87SelectionTest.Rout.save’ ... OK
Running ‘binarySelectionOutcome.R’ [8s/10s]
Comparing ‘binarySelectionOutcome.Rout’ to ‘binarySelectionOutcome.Rout.save’ ... OK
Running ‘fail.R’ [2s/2s]
Comparing ‘fail.Rout’ to ‘fail.Rout.save’ ... OK
Running ‘heckitIvTest.R’ [2s/2s]
Comparing ‘heckitIvTest.Rout’ to ‘heckitIvTest.Rout.save’ ... OK
Running ‘intervalTest.R’ [9s/11s]
Comparing ‘intervalTest.Rout’ to ‘intervalTest.Rout.save’ ... OK
Running ‘invMillsRatioTest.R’ [12s/16s]
Comparing ‘invMillsRatioTest.Rout’ to ‘invMillsRatioTest.Rout.save’ ...60a61
>
Running ‘probit.R’ [3s/5s]
Comparing ‘probit.Rout’ to ‘probit.Rout.save’ ... OK
Running ‘selection.R’ [10s/11s]
Comparing ‘selection.Rout’ to ‘selection.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.2-12
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘intReg.Rnw’ using Sweave
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Loading required package: zoo
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric
--- finished re-building ‘intReg.Rnw’
--- re-building ‘selection.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
--- finished re-building ‘selection.Rnw’
--- re-building ‘treatReg.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Error: processing vignette 'treatReg.Rnw' failed with diagnostics:
chunk 5 (label = EcdatExample)
Error in find.package(package, lib.loc, verbose = verbose) :
there is no package called ‘Ecdat’
--- failed re-building ‘treatReg.Rnw’
SUMMARY: processing the following file failed:
‘treatReg.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.2-12
Check: tests
Result: NOTE
Running ‘Mroz87SelectionTest.R’ [8s/22s]
Comparing ‘Mroz87SelectionTest.Rout’ to ‘Mroz87SelectionTest.Rout.save’ ... OK
Running ‘binarySelectionOutcome.R’ [25s/66s]
Comparing ‘binarySelectionOutcome.Rout’ to ‘binarySelectionOutcome.Rout.save’ ... OK
Running ‘fail.R’ [4s/14s]
Comparing ‘fail.Rout’ to ‘fail.Rout.save’ ... OK
Running ‘heckitIvTest.R’ [4s/11s]
Comparing ‘heckitIvTest.Rout’ to ‘heckitIvTest.Rout.save’ ... OK
Running ‘intervalTest.R’ [32s/82s]
Comparing ‘intervalTest.Rout’ to ‘intervalTest.Rout.save’ ... OK
Running ‘invMillsRatioTest.R’ [38s/141s]
Comparing ‘invMillsRatioTest.Rout’ to ‘invMillsRatioTest.Rout.save’ ...60a61
>
Running ‘probit.R’ [6s/26s]
Comparing ‘probit.Rout’ to ‘probit.Rout.save’ ... OK
Running ‘selection.R’ [27s/98s]
Comparing ‘selection.Rout’ to ‘selection.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.2-12
Check: tests
Result: NOTE
Running ‘Mroz87SelectionTest.R’
Comparing ‘Mroz87SelectionTest.Rout’ to ‘Mroz87SelectionTest.Rout.save’ ... OK
Running ‘binarySelectionOutcome.R’ [22s/30s]
Comparing ‘binarySelectionOutcome.Rout’ to ‘binarySelectionOutcome.Rout.save’ ... OK
Running ‘fail.R’
Comparing ‘fail.Rout’ to ‘fail.Rout.save’ ... OK
Running ‘heckitIvTest.R’
Comparing ‘heckitIvTest.Rout’ to ‘heckitIvTest.Rout.save’ ... OK
Running ‘intervalTest.R’ [28s/36s]
Comparing ‘intervalTest.Rout’ to ‘intervalTest.Rout.save’ ... OK
Running ‘invMillsRatioTest.R’ [33s/40s]
Comparing ‘invMillsRatioTest.Rout’ to ‘invMillsRatioTest.Rout.save’ ...60a61
>
Running ‘probit.R’
Comparing ‘probit.Rout’ to ‘probit.Rout.save’ ... OK
Running ‘selection.R’ [25s/33s]
Comparing ‘selection.Rout’ to ‘selection.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.2-12
Check: tests
Result: NOTE
Running 'Mroz87SelectionTest.R' [5s]
Comparing 'Mroz87SelectionTest.Rout' to 'Mroz87SelectionTest.Rout.save' ... OK
Running 'binarySelectionOutcome.R' [11s]
Comparing 'binarySelectionOutcome.Rout' to 'binarySelectionOutcome.Rout.save' ... OK
Running 'fail.R' [2s]
Comparing 'fail.Rout' to 'fail.Rout.save' ... OK
Running 'heckitIvTest.R' [2s]
Comparing 'heckitIvTest.Rout' to 'heckitIvTest.Rout.save' ... OK
Running 'intervalTest.R' [13s]
Comparing 'intervalTest.Rout' to 'intervalTest.Rout.save' ... OK
Running 'invMillsRatioTest.R' [17s]
Comparing 'invMillsRatioTest.Rout' to 'invMillsRatioTest.Rout.save' ...60a61
>
Running 'probit.R' [3s]
Comparing 'probit.Rout' to 'probit.Rout.save' ... OK
Running 'selection.R' [15s]
Comparing 'selection.Rout' to 'selection.Rout.save' ... OK
Flavor: r-devel-windows-x86_64
Version: 1.2-12
Check: re-building of vignette outputs
Result: WARN
Error(s) in re-building vignettes:
--- re-building ‘intReg.Rnw’ using Sweave
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Loading required package: zoo
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric
--- finished re-building ‘intReg.Rnw’
--- re-building ‘selection.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
--- finished re-building ‘selection.Rnw’
--- re-building ‘treatReg.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Error: processing vignette 'treatReg.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'treatReg.tex' failed.
LaTeX errors:
!pdfTeX error: pdflatex (file bbm10): Font bbm10 at 600 not found
==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘treatReg.Rnw’
SUMMARY: processing the following file failed:
‘treatReg.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-release-macos-arm64
Version: 1.2-12
Check: re-building of vignette outputs
Result: NOTE
Error(s) in re-building vignettes:
--- re-building ‘intReg.Rnw’ using Sweave
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Loading required package: zoo
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric
--- finished re-building ‘intReg.Rnw’
--- re-building ‘selection.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
--- finished re-building ‘selection.Rnw’
--- re-building ‘treatReg.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Error: processing vignette 'treatReg.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'treatReg.tex' failed.
LaTeX errors:
!pdfTeX error: pdflatex (file bbm10): Font bbm10 at 600 not found
==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘treatReg.Rnw’
SUMMARY: processing the following file failed:
‘treatReg.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-oldrel-macos-arm64
Version: 1.2-12
Check: re-building of vignette outputs
Result: NOTE
Error(s) in re-building vignettes:
--- re-building ‘intReg.Rnw’ using Sweave
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Loading required package: zoo
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric
--- finished re-building ‘intReg.Rnw’
--- re-building ‘selection.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vc)) : NaNs produced
Warning in sqrt(diag(vcov(object, part = "full"))) : NaNs produced
--- finished re-building ‘selection.Rnw’
--- re-building ‘treatReg.Rnw’ using Sweave
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
Error: processing vignette 'treatReg.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'treatReg.tex' failed.
LaTeX errors:
! LaTeX Error: File `icomma.sty' not found.
Type X to quit or <RETURN> to proceed,
or enter new name. (Default extension: sty)
! Emergency stop.
<read *>
l.19 \usepackage
{natbib}^^M
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘treatReg.Rnw’
SUMMARY: processing the following file failed:
‘treatReg.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-oldrel-macos-x86_64
Current CRAN status: WARN: 1, OK: 12
Version: 1.1-30
Check: re-building of vignette outputs
Result: WARN
Error(s) in re-building vignettes:
...
--- re-building ‘systemfit.Rnw’ using knitr
Error: processing vignette 'systemfit.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'systemfit.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.1496 \hldef
{sigmaInv} \hlkwb{<-} \hlkwd{solve}\hldef{( residCov )}
?
! Emergency stop.
! Emergency stop.
l.1496
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘systemfit.Rnw’
SUMMARY: processing the following file failed:
‘systemfit.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-release-macos-x86_64
Current CRAN status: OK: 13