Fourth quarter 2018 Archives by subject

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Starting: Tue Oct 2 11:48:12 CEST 2018
Ending: Thu Dec 27 05:39:36 CET 2018
Messages: 255

• [R-sig-ME] [FORGED] Error means squares in GLMER and LMER   Rolf Turner
• [R-sig-ME] [FORGED] Error means squares in GLMER and LMER   Rolf Turner
• [R-sig-ME] [R] glmutli package assistance please   Bert Gunter
• [R-sig-ME] [R] glmutli package assistance please   Michael Dewey
• [R-sig-ME] [R] glmutli package assistance please   Bert Gunter
• [R-sig-ME] [R] glmutli package assistance please   Bill Poling
• [R-sig-ME] [R] glmutli package assistance please - error Solved   Bill Poling
• [R-sig-ME] [RE] Response time modeling: Warning message with non-normal RAs   Baud-Bovy Gabriel
• [R-sig-ME] [RE] Response time modeling: Warning message with non-normal RAs   Ulf Köther
• [R-sig-ME] [RE] Response time modeling: Warning message with non-normal RAs   Baud-Bovy Gabriel
• [R-sig-ME] [RE] Response time modeling: Warning message with non-normal RAs   Emmanuel Curis
• [R-sig-ME] Adding random subject or item slopes for a specific contrast   David Sidhu
• [R-sig-ME] Adding random subject or item slopes for a specific contrast   Thierry Onkelinx
• [R-sig-ME] Adding random subject or item slopes for a specific contrast   David Sidhu
• [R-sig-ME] Adding random subject or item slopes for a specific contrast   Thierry Onkelinx
• [R-sig-ME] Are BLUP from two different random factors independant ?   LASSALVY Stephane
• [R-sig-ME] Are BLUP from two different random factors independant ?   Thierry Onkelinx
• [R-sig-ME] Are BLUP from two different random factors independant ?   LASSALVY Stephane
• [R-sig-ME] A theoretical question : usage of AIC and similar information criteria for mixed models   Nik Tuzov
• [R-sig-ME] A theoretical question : usage of AIC and similar information criteria for mixed models   Ben Bolker
• [R-sig-ME] A theoretical question : usage of AIC and similar information criteria for mixed models   D. Rizopoulos
• [R-sig-ME] Book: Mixed and Phylogenetic Models: A Conceptual Introduction to Correlated Data   Anthony R. Ives
• [R-sig-ME] Book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models   Highland Statistics Ltd
• [R-sig-ME] Cannot have zero distances in "corSpatial"   Vinicius Maia
• [R-sig-ME] Cannot have zero distances in "corSpatial"   Andrew Robinson
• [R-sig-ME] Cannot have zero distances in "corSpatial"   Thierry Onkelinx
• [R-sig-ME] Compound Symmetry Covariance structure   Yashree Mehta
• [R-sig-ME] Compound Symmetry Covariance structure   Poe, John
• [R-sig-ME] Compound Symmetry Covariance structure   Joaquín Aldabe
• [R-sig-ME] Compound Symmetry Covariance structure   Ben Bolker
• [R-sig-ME] Compound Symmetry Covariance structure   Yashree Mehta
• [R-sig-ME] Compound Symmetry Covariance structure   Ben Bolker
• [R-sig-ME] Conceptual doubts on how to define my random effects   Mario Garrido
• [R-sig-ME] Conceptual doubts on how to define my random effects   Poe, John
• [R-sig-ME] convergence   Souheyla GHEBGHOUB
• [R-sig-ME] convergence   Thierry Onkelinx
• [R-sig-ME] convergence   Souheyla GHEBGHOUB
• [R-sig-ME] convergence   Thierry Onkelinx
• [R-sig-ME] Course: Introduction to GAM and GAMM with R.   Highland Statistics Ltd
• [R-sig-ME] Covariance matrices in GLMER   Kornbrot, Diana
• [R-sig-ME] Covariance matrices in GLMER   Voeten, C.C.
• [R-sig-ME] Covariance matrix of random genetic effects   Kassim Baba Yussif
• [R-sig-ME] Cross-validation   Haneen Farah - CITG
• [R-sig-ME] Cross-validation   Ben Bolker
• [R-sig-ME] Cross-validation   Paul Buerkner
• [R-sig-ME] Denominator df in glmer   Kornbrot, Diana
• [R-sig-ME] Denominator df in glmer   Mollie Brooks
• [R-sig-ME] Denominator df in glmer   Ben Bolker
• [R-sig-ME] Dependency structure   Yashree Mehta
• [R-sig-ME] Dependency structure   Ben Bolker
• [R-sig-ME] Dependency structure   Ben Bolker
• [R-sig-ME] Dependency structure   Poe, John
• [R-sig-ME] Dependency structure   Malcolm Fairbrother
• [R-sig-ME] Dependency structure   Yashree Mehta
• [R-sig-ME] Dependency structure   Poe, John
• [R-sig-ME] Dependency structure   Yashree Mehta
• [R-sig-ME] diverging results with and without random effects   Leha, Andreas
• [R-sig-ME] diverging results with and without random effects   Leha, Andreas
• [R-sig-ME] diverging results with and without random effects   Leha, Andreas
• [R-sig-ME] diverging results with and without random effects   Thierry Onkelinx
• [R-sig-ME] diverging results with and without random effects   Leha, Andreas
• [R-sig-ME] diverging results with and without random effects   Thierry Onkelinx
• [R-sig-ME] diverging results with and without random effects   Leha, Andreas
• [R-sig-ME] emmeans and emtrends for a glmmTMB object   Diego Pavon
• [R-sig-ME] Error means squares in GLMER and LMER   Kornbrot, Diana
• [R-sig-ME] Error means squares in GLMER and LMER   roee maor
• [R-sig-ME] Error means squares in GLMER and LMER   Kornbrot, Diana
• [R-sig-ME] Error means squares in GLMER and LMER   Kornbrot, Diana
• [R-sig-ME] Error means squares in GLMER and LMER   Ben Bolker
• [R-sig-ME] examine removal of autocorrelation in glmmTMB   John Wilson
• [R-sig-ME] Fitting GLMM to percent cover data with glmmTMB   Vasco Silva
• [R-sig-ME] Fitting GLMM to percent cover data with glmmTMB   Vasco Silva
• [R-sig-ME] Fitting GLMM to percent cover data with glmmTMB   Mollie Brooks
• [R-sig-ME] Fitting GLMM to percent cover data with glmmTMB   Vasco Silva
• [R-sig-ME] Fitting GLMM to percent cover data with glmmTMB   Mollie Brooks
• [R-sig-ME] Fw: Unbalanced Nested Models with Heteroscedastic Errors   Reinstein, Ilan
• [R-sig-ME] Fwd: help: error in (function...): Downdated VtV is not positive definite and convergence problems   Mario Garrido
• [R-sig-ME] GLMERTREE and REEMTREE to build regression trees with random effects   Benjamin CARBONNE
• [R-sig-ME] GLMM estimates and confidence intervals for average predicted probability   Clark Kogan
• [R-sig-ME] GLMM estimates and confidence intervals for average predicted probability   D. Rizopoulos
• [R-sig-ME] GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.4-0   D. Rizopoulos
• [R-sig-ME] glmmTMB   Maira Fatoretto
• [R-sig-ME] glmmTMB   Ben Bolker
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Aaron Mackey
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Ben Bolker
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Aaron Mackey
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Ben Bolker
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Aaron Mackey
• [R-sig-ME] glmmTMB: how to calculate posterior prob. of structural zero?   Aaron Mackey
• [R-sig-ME] glmmTMB: how to get normalized residuals for use in ACF plotting   Helen Waters
• [R-sig-ME] glmmTMB: standard error of dispersion parameter   Dennis Ruenger
• [R-sig-ME] glmmTMB: standard error of dispersion parameter   John Maindonald
• [R-sig-ME] glmmTMB: testing for temporal variation in effect of fixed predictor on response variable   Brenna Levine
• [R-sig-ME] glmmTMB: testing for temporal variation in effect of fixed predictor on response variable   Thierry Onkelinx
• [R-sig-ME] glmmTMB: testing for temporal variation in effect of fixed predictor on response variable   Thierry Onkelinx
• [R-sig-ME] glmmTMB: testing for temporal variation in effect of fixed predictor on response variable   Ben Bolker
• [R-sig-ME] GLMM with many and highly correlated features   j at z at vr at kidis m at ili at g off at ki at at l
• [R-sig-ME] GLMM with many and highly correlated features   Thierry Onkelinx
• [R-sig-ME] GLMM with many and highly correlated features   j at z at vr at kidis m at ili at g off at ki at at l
• [R-sig-ME] GLMM with many and highly correlated features   Thierry Onkelinx
• [R-sig-ME] GLMM with many and highly correlated features   D. Rizopoulos
• [R-sig-ME] glmutli package assistance please   Bill Poling
• [R-sig-ME] GLS with small-sample-sizes corrections   j at z at vr at kidis m at ili at g off at ki at at l
• [R-sig-ME] help: error in (function...): Downdated VtV is not positive definite and convergence problems   Mario Garrido
• [R-sig-ME] help: error in (function...): Downdated VtV is not positive definite and convergence problems   D. Rizopoulos
• [R-sig-ME] help: error in (function...): Downdated VtV is not positive definite and convergence problems   Mario Garrido
• [R-sig-ME] help: error in (function...): Downdated VtV is not positive definite and convergence problems   D. Rizopoulos
• [R-sig-ME] Help understanding an error Line Search Fails   Bill Poling
• [R-sig-ME] Help understanding an error Line Search Fails   Ben Bolker
• [R-sig-ME] Help understanding an error Line Search Fails   Bill Poling
• [R-sig-ME] Help understanding an error Line Search Fails   Ben Bolker
• [R-sig-ME] Help understanding an error Line Search Fails   Bill Poling
• [R-sig-ME] help with glmer   Sachiin M H
• [R-sig-ME] help with glmer   Steve Candy
• [R-sig-ME] help with glmer   Ben Bolker
• [R-sig-ME] help with glmer   Ben Bolker
• [R-sig-ME] Help with split data routine and subsequent predict function --caret and klaR pkgs   Bill Poling
• [R-sig-ME] intercept and threshold values to calculate probability based on mixor package   K Imran M
• [R-sig-ME] intercept and threshold values to calculate probability based on mixor package   K Imran M
• [R-sig-ME] intercept and threshold values to calculate probability based on mixor package   roee maor
• [R-sig-ME] intercept and threshold values to calculate probability based on mixor package   roee maor
• [R-sig-ME] intercept and threshold values to calculate probability based on mixor package   K Imran M
• [R-sig-ME] lme ->Error in getGroups.data.frame(dataMix, groups)   Boy Possen
• [R-sig-ME] lme ->Error in getGroups.data.frame(dataMix, groups)   Ben Bolker
• [R-sig-ME] lme4 1.1-19 going to CRAN soon   Ben Bolker
• [R-sig-ME] LMER-CorpusData   Taha Omidian
• [R-sig-ME] LMER-CorpusData   Phillip Alday
• [R-sig-ME] LMER-CorpusData   Taha Omidian
• [R-sig-ME] LMER-CorpusData   Phillip Alday
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Maarten Jung
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Jake Westfall
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Maarten Jung
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Jake Westfall
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Maarten Jung
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Jake Westfall
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Maarten Jung
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Jake Westfall
• [R-sig-ME] LMM reduction following marginality taking out "item" before "subject:item" grouping factor   Maarten Jung
• [R-sig-ME] LRT between GLMM and GLM to test a Single Random Intercept   Juho Kristian Ruohonen
• [R-sig-ME] LRT between GLMM and GLM to test a Single Random Intercept   Thierry Onkelinx
• [R-sig-ME] MCMCglmm: square root of the sampling variance of additive genetic variance   Simona Kralj Fiser
• [R-sig-ME] MCMCglmm: square root of the sampling variance of additive genetic variance   Walid Mawass
• [R-sig-ME] MCMCglmm: square root of the sampling variance of additive genetic variance   Pierre de Villemereuil
• [R-sig-ME] MCMCglmm: square root of the sampling variance of additive genetic variance   Simona Kralj Fiser
• [R-sig-ME] MCMCglmm and multimembership analysis   Roslyn Dakin
• [R-sig-ME] MCMCglmm r function   Souheyla GHEBGHOUB
• [R-sig-ME] MCMCglmm r function   Phillip Alday
• [R-sig-ME] model estimates in glmmTMB   Stephanie Rivest
• [R-sig-ME] model estimates in glmmTMB   Thomas Merkling
• [R-sig-ME] Multilevel modeling-corpus linguistics   Taha Omidian
• [R-sig-ME] Multinomial mixed model in MCMCglmm, correcting for genealogy with random effects?   Annemarie Verkerk
• [R-sig-ME] Need Bayes Factor and posterior odds   Kornbrot, Diana
• [R-sig-ME] Need Bayes Factor and posterior odds   Paul Buerkner
• [R-sig-ME] ordinal mixed model - which one to use?   Paul Johnson
• [R-sig-ME] partial correlation and mixed models in R   Cristiano Alessandro
• [R-sig-ME] Please help me to interpret this result   Sachiin M H
• [R-sig-ME] Plotting interactions while controlling for other predictors.   David Sidhu
• [R-sig-ME] Plotting interactions while controlling for other predictors.   Walid Mawass
• [R-sig-ME] Plotting interactions while controlling for other predictors.   Guillaume Adeux
• [R-sig-ME] Plotting interactions while controlling for other predictors.   Guillaume Adeux
• [R-sig-ME] Plotting interactions while controlling for other predictors.   Fox, John
• [R-sig-ME] population-level predict glmmtmb with poly()   John Wilson
• [R-sig-ME] population-level predict glmmtmb with poly()   D. Rizopoulos
• [R-sig-ME] population-level predict glmmtmb with poly()   John Wilson
• [R-sig-ME] population-level predict glmmtmb with poly()   Ben Bolker
• [R-sig-ME] population-level predict glmmtmb with poly()   D. Rizopoulos
• [R-sig-ME] population-level predict glmmtmb with poly()   John Wilson
• [R-sig-ME] population-level predict glmmtmb with poly()   Ben Bolker
• [R-sig-ME] post hoc tests for glmmTMB   Aoibheann Gaughran
• [R-sig-ME] post hoc tests for glmmTMB   Aoibheann Gaughran
• [R-sig-ME] post hoc tests for glmmTMB   Guillaume Adeux
• [R-sig-ME] post hoc tests for glmmTMB   Ben Bolker
• [R-sig-ME] post hoc tests for glmmTMB   Aoibheann Gaughran
• [R-sig-ME] post hoc tests for glmmTMB   Aoibheann Gaughran
• [R-sig-ME] post hoc tests for glmmTMB   Ben Bolker
• [R-sig-ME] post hoc tests for glmmTMB   Fox, John
• [R-sig-ME] post hoc tests for glmmTMB   Fox, John
• [R-sig-ME] post hoc tests for glmmTMB   Lenth, Russell V
• [R-sig-ME] pre/post with partial participation   Paul Johnson
• [R-sig-ME] pre/post with partial participation   Thierry Onkelinx
• [R-sig-ME] pre/post with partial participation   Hugo Quené
• [R-sig-ME] Print Bayes Factor and posterior odds   Kornbrot, Diana
• [R-sig-ME] Print Bayes Factor and posterior odds   Kornbrot, Diana
• [R-sig-ME] pvalues & model inference   Stephanie Rivest
• [R-sig-ME] pvalues & model inference   Anthony R. Ives
• [R-sig-ME] Quick Question on glmer.nb   Mohammadreza Hashemi
• [R-sig-ME] Quick Question on glmer.nb   Thierry Onkelinx
• [R-sig-ME] R-sig-mixed-models Digest, Vol 143, Issue 12   Lenth, Russell V
• [R-sig-ME] R-sig-mixed-models Digest, Vol 143, Issue 33   Kornbrot, Diana
• [R-sig-ME] Random intercept model- unbalanced cluster   Yashree Mehta
• [R-sig-ME] Random intercept model- unbalanced cluster   Yashree Mehta
• [R-sig-ME] Random intercept model- unbalanced cluster   Ben Bolker
• [R-sig-ME] R Caret package   Haneen Farah - CITG
• [R-sig-ME] R Consortium call for funding   Phillip Alday
• [R-sig-ME] Repeated measures - general question   Nik Tuzov
• [R-sig-ME] Repeated measures - general question   Ben Bolker
• [R-sig-ME] Response time modeling: Warning message with non-normal RAs   Gabriel Baud-Bovy
• [R-sig-ME] Robust mixed-effect linear regression with repeated measures   at hm at dr215 m at ili at g off tpg at com at at u
• [R-sig-ME] Robust mixed-effect linear regression with repeated measures   Ben Bolker
• [R-sig-ME] Robust mixed-effect linear regression with repeated measures   at hm at dr215 m at ili at g off tpg at com at at u
• [R-sig-ME] Running   Jonathan Miller
• [R-sig-ME] Running   Ben Bolker
• [R-sig-ME] Running   Ben Bolker
• [R-sig-ME] Running   Jonathan Miller
• [R-sig-ME] Simulated mean prediction (lmer or lme) and CI   Logan Brooks
• [R-sig-ME] Simulating data with nested random effects   Wijeratne, Peter
• [R-sig-ME] Simulating data with nested random effects   Thierry Onkelinx
• [R-sig-ME] Simulating data with nested random effects   Wijeratne, Peter
• [R-sig-ME] Simulating data with nested random effects   Wijeratne, Peter
• [R-sig-ME] Simulations in Fisher's Exact test   Adeela Munawar
• [R-sig-ME] Simulations in Fisher's Exact test   Ben Bolker
• [R-sig-ME] Simulations in Fisher's Exact test   Alexandre Courtiol
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Pero, Ellen
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Thierry Onkelinx
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Bill Poling
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Pero, Ellen
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Ben Bolker
• [R-sig-ME] Single DV with multiple measures for time-varying IV?   Thierry Onkelinx
• [R-sig-ME] Specifying and fitting LME model with unstructured error correlation within subject   Kogan, Clark
• [R-sig-ME] Specifying and fitting LME model with unstructured error correlation within subject   Thierry Onkelinx
• [R-sig-ME] Specifying and fitting LME model with unstructured error correlation within subject   Clark Kogan
• [R-sig-ME] Specifying and fitting LME model with unstructured error correlation within subject   Ben Bolker
• [R-sig-ME] test_terms for lme model with crossed random effects and weights   Guillaume Adeux
• [R-sig-ME] test_terms for lme model with crossed random effects and weights   Maarten Jung
• [R-sig-ME] Unbalanced Nested Models with Heteroscedastic Errors   Reinstein, Ilan
• [R-sig-ME] Unbalanced Nested Models with Heteroscedastic Errors   Ryan Simmons
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roim at or m at ili at g off post at t at u at at c at il
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   Walid Mawass
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roim at or m at ili at g off post at t at u at at c at il
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   HADFIELD Jarrod
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   HADFIELD Jarrod
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roim at or m at ili at g off post at t at u at at c at il
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roee maor
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   HADFIELD Jarrod
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roee maor
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   HADFIELD Jarrod
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   Ben Bolker
• [R-sig-ME] Unclear output from MCMCglmm with categorical predictors   roee maor
• [R-sig-ME] warnings when using binomial models and offset   Joana Martelo
• [R-sig-ME] warnings when using binomial models and offset   Ben Bolker
• [R-sig-ME] warnings when using binomial models and offset (log(x))   Joana Martelo
• [R-sig-ME] warnings when using binomial models and offset (log(x))   Ben Bolker
• [R-sig-ME] warnings when using binomial models and offset (log(x))   Joana Martelo
• [R-sig-ME] warnings when using binomial models and offset - NaNs   Joana Martelo
• [R-sig-ME] warnings when using binomial models and offset - NaNs   Mollie Brooks
• [R-sig-ME] warnings when using binomial models and offset - NaNs   Ben Bolker
• [R-sig-ME] Weighted regression in REML   Nik Tuzov
• [R-sig-ME] Weighted regression in REML   Nik Tuzov
• [R-sig-ME] Weighted regression in REML   Nik Tuzov
• [R-sig-ME] Weighted regression in REML   Nik Tuzov
• [R-sig-ME] Weighted regression in REML   Ben Bolker
• [R-sig-ME] Weighted regression in REML   Nik Tuzov
• [R-sig-ME] zero-inflated glmmTMB with poly() - confidence band   John Wilson
• [R-sig-ME] zero-inflated glmmTMB with poly() - confidence band   D. Rizopoulos
• [R-sig-ME] zero-inflated glmmTMB with poly() - confidence band   John Wilson

Last message date: Thu Dec 27 05:39:36 CET 2018
Archived on: Thu Dec 27 06:00:08 CET 2018

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