Building regression models


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Documentation for package ‘regr0’ version 1.0-5

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A C D F G L M N P Q R S T U W X misc

regr-package Tools for Building Many Kinds of Regression Models

-- A --

add1.mlm Drop All Possible Single Terms from or Add Terms to a Multivariate Model
add1.regr Drop All Possible Single Terms from or Add Terms to a Model Fitted by regr
allcoef all coefficients of a model fit
asinp arc sine Transformation

-- C --

c.mon Names of months and weekdays
c.months Names of months and weekdays
c.weekdays Names of months and weekdays
colorpale determine more pale colors for given colors
compareTerms Collect results for different regression models
condquant Quantiles of a Conditional Distribution
contr.wpoly contrasts for zeroing the weighted sum of coefficients or orthogonalizing polynomials
contr.wsum contrasts for zeroing the weighted sum of coefficients or orthogonalizing polynomials
contr.wsumpoly contrasts for zeroing the weighted sum of coefficients or orthogonalizing polynomials
createNAvars Make NAs available for regression

-- D --

d.babysurv Survival of early born babies
d.babysurvGr Survival of early born babies
d.birthrates Birthrates and socio-economic data of Switzerland, 1870
d.birthratesVars Birthrates and socio-economic data of Switzerland, 1870
d.blast tremor caused by blasting for excavation of a tunnel, with explanatory information
d.fossiles Shapes of Shells and Environmental Variables
d.hail d.hail: hail prevention data
d.pollZH16 pollution data, 1 year of hourly measurements
d.pollZH16d pollution data, 1 year of hourly measurements
d.rehab ~~ data name/kind ... ~~
d.surveyenvir Survey on Environment
doc Define and obtain the doc or tit attribute
doc<- Define and obtain the doc or tit attribute
drevgumbel "Reverse" Gumbel Distribution Functions
drop1.mlm Drop All Possible Single Terms from or Add Terms to a Multivariate Model
drop1.multinom Drop All Possible Single Terms from or Add Terms to a Model Fitted by regr
drop1.regr Drop All Possible Single Terms from or Add Terms to a Model Fitted by regr
drop1Wald Drop Single Terms of a Model and Calculate Respective Wald Tests
dropdata Drop Observations from a Data.frame

-- F --

factorNA Make NAs available for regression
fitcomp Component Effects for a Model Fit
fitted.polr Fitted Values for regr and polr objects
fitted.regr Fitted Values for regr and polr objects
format.modelTable Collect results for different regression models

-- G --

getmeth get S3 method of a generic function
getUserOption Set and Get User "Session" Options that influence "regr0"s behavior
getvars Extract Variables for Model Fitting from a Data Frame

-- L --

last Last Elements of a Vector or of a Matrix
legendr Add a Legend to a Plot
leverage Get leverage values
linear.predictors linear predictors from a (generalized) linear model
linpred linear predictors from a (generalized) linear model
logst Started Logarithmic Transformation

-- M --

mframe Multiple Frames for Plotting
modarg Modify default arguments according to named vector or list
modelTable Collect results for different regression models

-- N --

nainf.exclude Drop Rows Containing NA or Inf
nainf.omit Drop Rows Containing NA or Inf
notna drop NA values from vector

-- P --

panelDefault Scatterplot Matrix
plcoord Determines Values for Plotting with Limited "Inner" Plot Range
plfitpairs Plot Fitted Values for Multinomial Regression
plmatrix Scatterplot Matrix
plmbox Multibox plots
plmboxes Multibox plots
plot.regr Diagnostic Plots for Regr Objects
plot.regrAllEqns All Equations of a Linear Model
plot.xdistResscale Illustrate Completeness Test for Regression Model
plotregrControl Further Arguments to 'plot.regr'
plres2x Plot Residuals vs. Two Explanatory Variables
plresx Diagnostic Plots for Regr Objects
plTA.polr Plot Residuals against Fitted Values for polr objects
predict.mlm Prediction Methods for 'regr' Objects
predict.polr Prediction Methods for 'regr' Objects
predict.regr Prediction Methods for 'regr' Objects
prevgumbel "Reverse" Gumbel Distribution Functions
print.allcoef all coefficients of a model fit
print.modelTable Collect results for different regression models
print.regr Print Method for 'regr' objects
print.regrAllEqns All Equations of a Linear Model

-- Q --

qrevgumbel "Reverse" Gumbel Distribution Functions
quantilew Quantiles for weighted observations
quinterpol Interpolated Quantiles

-- R --

regr Fitting Regression Models
regrAllEqns All Equations of a Linear Model
regrAllEqnsXtr All Equations of a Linear Model
regrControl Further Arguments to 'regr'
residuals.polr Residuals of a Binary or Ordered Regression
residuals.regr Residuals for 'regr' objects
residuals.regrcoxph Residuals of a regression for survival data
residuals.regrsurv Residuals of a regression for survival data
robrange Robust Range of Data
rrevgumbel "Reverse" Gumbel Distribution Functions

-- S --

showd Show a Part of a Data.frame
simresiduals Simulate Residuals
simresiduals.default Simulate Residuals
simresiduals.glm Simulate Residuals
smoothM Smooth: wrapper function
smoothMM Smooth: wrapper function
smoothRegr Smoothing function used as a default in regr
stamp Add a "Stamp", i.e., an Identification Line to a Plot
step Choose a model in a Stepwise Algorithm
step.default Choose a model in a Stepwise Algorithm
step.regr Choose a model in a Stepwise Algorithm
summary.regr Fitting Regression Models
sumna Count NAs

-- T --

terms2order Second Order Terms of a Formula
tit Define and obtain the doc or tit attribute
tit<- Define and obtain the doc or tit attribute
Tobit Prepare a Response for a Tobit Model

-- U --

UserDefault Set and Get User "Session" Options that influence "regr0"s behavior
UserOptions Set and Get User "Session" Options that influence "regr0"s behavior
userOptions Set and Get User "Session" Options that influence "regr0"s behavior

-- W --

warn List Warnings

-- X --

xdistResdiff Residual Differences for Near Replicates: Tabulate and Test
xdistResscale Residual Differences for Near Replicates: Tabulate and Test
xNA Make NAs available for regression

-- misc --

[.modelTable Collect results for different regression models