Fourth quarter 2009 Archives by thread

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Starting: Thu Oct 1 22:49:29 CEST 2009
Ending: Sun Dec 27 19:09:17 CET 2009
Messages: 253

• [R-sig-ME] complex cross classified model   Sven De Maeyer
  • [R-sig-ME] complex cross classified model   Douglas Bates
• [R-sig-ME] Probability of Independence in lmer with categorical variables   Stefanie LaZerte
• [R-sig-ME] Design question about repeated measures as nested vs crossed structures   Ista Zahn
  • [R-sig-ME] Design question about repeated measures as nested vscrossed structures   Doran, Harold
    • [R-sig-ME] Design question about repeated measures as nested vscrossed structures   Douglas Bates
      • [R-sig-ME] Design question about repeated measures as nested vscrossed structures   Douglas Bates
      • [R-sig-ME] Design question about repeated measures as nested vscrossed structures   Ista Zahn
  • [R-sig-ME] Design question about repeated measures as nested vs crossed structures   Rolf Turner
• [R-sig-ME] Links to that "slow" lmer example I asked about   Paul Johnson
  • [R-sig-ME] Links to that "slow" lmer example I asked about   Douglas Bates
    • [R-sig-ME] Links to that "slow" lmer example I asked about   Douglas Bates
• [R-sig-ME] lme vs. lmer   Paul Johnson
  • [R-sig-ME] lme vs. lmer   Raldo Kruger
    • [R-sig-ME] lme vs. lmer   Paul Johnson
• [R-sig-ME] Help with a mixed effects design   Maloney, Kelly
• [R-sig-ME] p values for models with random correlation parameters   Babila Tachu
  • [R-sig-ME] p values for models with random correlation parameters   Ben Bolker
    • [R-sig-ME] p values for models with random correlation parameters   espesser
• [R-sig-ME] Modelling missing data in MCMCglmm()   Dawson Wayne
  • [R-sig-ME] Modelling missing data in MCMCglmm()   Jarrod Hadfield
• [R-sig-ME] estimating the "right" theta in a glmmmPQL model with neg bin error family and spatial structure   alexandre villers
• [R-sig-ME] lme4 and calculating QAICc   Andrew Close
  • [R-sig-ME] lme4 and calculating QAICc   Dr. Christoph Scherber
    • [R-sig-ME] lme4 and calculating QAICc   Ben Bolker
  • [R-sig-ME] lme4 and calculating QAICc   David Atkins
• [R-sig-ME] Calculating an Intraclass Correlation Coefficient or Repeatability estimate from lmer() output   amelie lescroel
  • [R-sig-ME] Calculating an Intraclass Correlation Coefficient or Repeatability estimate from lmer() output   Jarrod Hadfield
  • [R-sig-ME] convert into ORs   raphaëlle métras
    • [R-sig-ME] convert into ORs   David Duffy
• [R-sig-ME] malaria data set question   Georgina Sarah Humphreys
• [R-sig-ME] P-values for balanced mixed model with nesting   Prew, Paul
  • [R-sig-ME] P-values for balanced mixed model with nesting   Prew, Paul
    • [R-sig-ME] P-values for balanced mixed model with nesting   Douglas Bates
• [R-sig-ME] To conjoin or not to conjoin factorial variables?   Antoine Tremblay
  • [R-sig-ME] To conjoin or not to conjoin factorial variables?   Antoine Tremblay
  • [R-sig-ME] To conjoin or not to conjoin factorial variables?   Douglas Bates
    • [R-sig-ME] To conjoin or not to conjoin factorial variables?   Douglas Bates
• [R-sig-ME] Interactions and posthocs for LMER models   Antoine Tremblay
• [R-sig-ME] glmm.admb {glmmADMB} vs glmer {lme4}   Raldo Kruger
  • [R-sig-ME] glmm.admb {glmmADMB} vs glmer {lme4}   Douglas Bates
    • [R-sig-ME] glmm.admb {glmmADMB} vs glmer {lme4}   Raldo Kruger
      • [R-sig-ME] glmm.admb {glmmADMB} vs glmer {lme4}   dave fournier
• [R-sig-ME] Crossing Interaction and lmer   Johannes Schliesser
  • [R-sig-ME] Crossing Interaction and lmer   Douglas Bates
• [R-sig-ME] follow-up (posthoc) analyses from an LMER model   Antoine Tremblay
  • [R-sig-ME] follow-up (posthoc) analyses from an LMER model   Tobias Verbeke
• [R-sig-ME] nlmer/nlme with custom selfStart   Lyman, Mark
• [R-sig-ME] Multinomial mixed effect model   Graham Leask
  • [R-sig-ME] Multinomial mixed effect model   Murray Jorgensen
• [R-sig-ME] plotting 3-way interactions   Antoine Tremblay
• [R-sig-ME] Prediction, Poisson and Intercepts   Manuel Morales
  • [R-sig-ME] Prediction, Poisson and Intercepts   Jarrod Hadfield
    • [R-sig-ME] Prediction, Poisson and Intercepts   Manuel Morales
      • [R-sig-ME] Prediction, Poisson and Intercepts   Jarrod Hadfield
  • [R-sig-ME] Prediction, Poisson and Intercepts   Luca Borger
• [R-sig-ME] Default number of chains in MCMCglmm   Christopher David Desjardins
  • [R-sig-ME] Default number of chains in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Error message in the confidence interval for the autocorrelation   FMH
• [R-sig-ME] lme(): Error message in the confidence interval   Christine Adrion
• [R-sig-ME] Model fit after false convergence   Luciano La Sala
  • [R-sig-ME] Model fit after false convergence   David Duffy
• [R-sig-ME] mcmcpvalue and error message   Eva Frei
• [R-sig-ME] error in LMM fit   Douglas Bates
• [R-sig-ME] niterEM in the control option of lme   Marie-Pierre Sylvestre
• [R-sig-ME] Does lmer use Empirical Bayes to estimate random effects   Christopher David Desjardins
  • [R-sig-ME] Does lmer use Empirical Bayes to estimate random effects   Douglas Bates
• [R-sig-ME] Apparent false convergence in lmer with some BIBD data   Phillip Chapman
  • [R-sig-ME] Apparent false convergence in lmer with some BIBD data   Douglas Bates
    • [R-sig-ME] Apparent false convergence in lmer with some BIBD data   Ben Bolker
      • [R-sig-ME] Apparent false convergence in lmer with some BIBD data   Douglas Bates
• [R-sig-ME] Modelling intraspecific differences with random slopes   David R.
  • [R-sig-ME] Modelling intraspecific differences with random slopes   Douglas Bates
• [R-sig-ME] Sorry, I meant: Modelling INTERspecific differences with random slopes   David R.
• [R-sig-ME] scaler parameters   Celia Olabarria
  • [R-sig-ME] scaler parameters   Douglas Bates
• [R-sig-ME] Interaction estimates with glm.nb   Nicolas RODE
• [R-sig-ME] Localization of nonlinear mixed models   Jaakko Heinonen
• [R-sig-ME] I can still use nlme instead of nlmer/lme4 right?   David Airey
  • [R-sig-ME] I can still use nlme instead of nlmer/lme4 right?   Doran, Harold
    • [R-sig-ME] I can still use nlme instead of nlmer/lme4 right?   Ben Bolker
• [R-sig-ME] Measuring overdispersion in GLMM (poisson)   Oxbrough, Anne
• [R-sig-ME] R-sig-mixed-models Digest, Vol 35, Issue 4   David Airey
• [R-sig-ME] Scale parameters and assessing overdispersion   Marcus Rowcliffe
• [R-sig-ME] heteroscedasticity   Thomas Mang
  • [R-sig-ME] heteroscedasticity   Emmanuel Charpentier
    • [R-sig-ME] heteroscedasticity   Afshartous, David
• [R-sig-ME] Linear Mixed-Effects Models (lme), question about parameter estimates and random effect   R.S. Cotter
  • [R-sig-ME] Linear Mixed-Effects Models (lme), question about parameter estimates and random effect   Paul Johnson
• [R-sig-ME] heteroscedasticity (Thomas Mang)   De Smedt Sebastiaan
• [R-sig-ME] Including by-item random intercepts for generalizability. Also to model (potential) heteroscedasticity?   Antoine Tremblay
  • [R-sig-ME] Including by-item random intercepts for generalizability. Also to model (potential) heteroscedasticity?   Jonathan Baron
    • [R-sig-ME] Including by-item random intercepts for generalizability. Also to model (potential) heteroscedasticity?   Antoine Tremblay
      • [R-sig-ME] Including by-item random intercepts for generalizability. Also to model (potential) heteroscedasticity?   Daniel Ezra Johnson
      • [R-sig-ME] Including by-item random intercepts for generalizability. Also to model (potential) heteroscedasticity?   Antoine Tremblay
• [R-sig-ME] Contrasts with nlme   Jacques Ropers
  • [R-sig-ME] Contrasts with nlme   Douglas Bates
    • [R-sig-ME] Contrasts with nlme   Ken Knoblauch
• [R-sig-ME] R-sig-mixed-models Digest, Vol 35, Issue 9   Antoine Tremblay
• [R-sig-ME] glmer - help with t values   Elisa Fuentes-Montemayor
  • [R-sig-ME] glmer - help with t values   Ben Bolker
• [R-sig-ME] poly- results   Balázs Lestár
• [R-sig-ME] poly() or rcs()?   Antoine Tremblay
• [R-sig-ME] poly() and rcs()?   Antoine Tremblay
  • [R-sig-ME] poly() and rcs()?   Vito Muggeo (UniPa)
  • [R-sig-ME] poly() and rcs()?   Paul Johnson
    • [R-sig-ME] poly() and rcs()?   Antoine Tremblay
• [R-sig-ME] test significance of single random effect   Tom Van Dooren
  • [R-sig-ME] test significance of single random effect   Ben Bolker
    • [R-sig-ME] test significance of single random effect   Tom Van Dooren
    • [R-sig-ME] test significance of single random effect   Matthias Gralle
      • [R-sig-ME] test significance of single random effect   Douglas Bates
      • [R-sig-ME] test significance of single random effect   Tom Van Dooren
      • [R-sig-ME] test significance of single random effect   Achaz von Hardenberg
      • [R-sig-ME] test significance of single random effect   Ben Bolker
  • [R-sig-ME] test significance of single random effect   Fabian Scheipl
  • [R-sig-ME] test significance of single random effect   Highland Statistics Ltd.
  • [R-sig-ME] test significance of single random effect   Fabian Scheipl
• [R-sig-ME] [Fwd: effective sample size]   David Atkins
  • [R-sig-ME] [Fwd: effective sample size]   John Maindonald
  • [R-sig-ME] [Fwd: effective sample size]   Rafael Maia
  • [R-sig-ME] [Fwd: effective sample size]   Peter Dalgaard
• [R-sig-ME] help in R   alis villiyam
  • [R-sig-ME] help in R   Luca Borger
• [R-sig-ME] Interpretation of odd error variances in glmer   Brendan Halpin
  • [R-sig-ME] Interpretation of odd error variances in glmer   Douglas Bates
    • [R-sig-ME] Interpretation of odd error variances in glmer   Brendan Halpin
      • [R-sig-ME] Interpretation of odd error variances in glmer   Daniel Ezra Johnson
      • [R-sig-ME] Interpretation of odd error variances in glmer   Douglas Bates
• [R-sig-ME] Convergence diagnostics for MCMCglmm   Dawson Wayne
  • [R-sig-ME] Convergence diagnostics for MCMCglmm   Jarrod Hadfield
    • [R-sig-ME] Convergence diagnostics for MCMCglmm   Dawson Wayne
    • [R-sig-ME] Convergence diagnostics for MCMCglmm   Ben Bolker
  • [R-sig-ME] Convergence diagnostics for MCMCglmm   Ben Bolker
• [R-sig-ME] Penalty = shrinkage = ?   Prew, Paul
  • [R-sig-ME] Penalty = shrinkage = ?   Douglas Bates
    • [R-sig-ME] Penalty = shrinkage = ?   Prew, Paul
• [R-sig-ME] estimating contrasts and their standard errors from mixed effects models in lme4   eva petkova
  • [R-sig-ME] estimating contrasts and their standard errors from mixed effects models in lme4   Adam D. I. Kramer
    • [R-sig-ME] estimating contrasts and their standard errors from mixed effects models in lme4   eva petkova
  • [R-sig-ME] estimating contrasts and their standard errors from mixed effects models in lme4   Nicholas Lewin-Koh
• [R-sig-ME] Residual Sum Squares Issues with Linear Mixed Models   Howsun.Jow at newcastle.ac.uk
  • [R-sig-ME] Residual Sum Squares Issues with Linear Mixed Models   Douglas Bates
• [R-sig-ME] different results across versions for glmer/lmer with the quasi-poisson or quasi-binomial families: the lattest version might not be accurate...   Gosselin Frederic
• [R-sig-ME] Generating correlated multilevel data   CHRIS M SWOBODA
• [R-sig-ME] correlation structure with glmer?   Alice Shelly
  • [R-sig-ME] correlation structure with glmer?   Douglas Bates
    • [R-sig-ME] correlation structure with glmer?   Alice Shelly
• [R-sig-ME] can mixed effects models handle two dependent variables   Jude Phillips
  • [R-sig-ME] can mixed effects models handle two dependent variables   Afshartous, David
  • [R-sig-ME] can mixed effects models handle two dependent variables   Jarrod Hadfield
• [R-sig-ME] random effects coefficients   Cornelia Oedekoven
  • [R-sig-ME] random effects coefficients   Luca Borger
    • [R-sig-ME] random effects coefficients   Daniel Ezra Johnson
• [R-sig-ME] MCMCglmm and prior specification   ledonret at email.unc.edu
  • [R-sig-ME] MCMCglmm and prior specification   Christopher David Desjardins
  • [R-sig-ME] MCMCglmm and prior specification   Jarrod Hadfield
    • [R-sig-ME] MCMCglmm and prior specification   Jarrod Hadfield
• [R-sig-ME] predict from glmer   sj
  • [R-sig-ME] predict from glmer   David Atkins
• [R-sig-ME] different fits for geese and geeglm in geepack?   Achaz von Hardenberg
  • [R-sig-ME] different fits for geese and geeglm in geepack?   Paul Johnson
• [R-sig-ME] anova for lmer   jstorracchi at utpl.edu.ec
• [R-sig-ME] Extracting p-values from an lme object (any help would be appreciated)   Ben Zuckerberg
  • [R-sig-ME] Extracting p-values from an lme object (any help would be appreciated)   Ben Bolker
    • [R-sig-ME] Extracting p-values from an lme object (any help would be appreciated)   Adam D. I. Kramer
      • [R-sig-ME] Extracting p-values from an lme object (any help would be appreciated)   Robert Kushler
• [R-sig-ME] Dimension error message when using lmer()   Doug Fowler
  • [R-sig-ME] Dimension error message when using lmer()   Luca Borger
  • [R-sig-ME] Dimension error message when using lmer()   ONKELINX, Thierry
• [R-sig-ME] Mixed modelling course   Highland Statistics Ltd.
• [R-sig-ME] Mixed models and mediation   Adam D. I. Kramer
  • [R-sig-ME] Mixed models and mediation   Jonathan Baron
    • [R-sig-ME] Mixed models and mediation   David Atkins
• [R-sig-ME] Question about lmer - confounding results?!   Gwyneth Wilson
• [R-sig-ME] lmer models-confusing results??   Gwyneth Wilson
• [R-sig-ME] How do I test for overdispersion with a binomial glmm?   Gwyneth Wilson
• [R-sig-ME] BUG in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Analyzing hierarchical MRI data   Stephen Weigand
• [R-sig-ME] lmer models-confusing results - more information!   Gwyneth Wilson
  • [R-sig-ME] lmer models-confusing results - more information!   Jarrod Hadfield
  • [R-sig-ME] lmer models-confusing results - more information!   Ben Bolker
    • [R-sig-ME] lmer models-confusing results - more information!   Manuel Morales
      • [R-sig-ME] lmer models-confusing results - more information!   Ben Bolker
      • [R-sig-ME] Intelligent use of mcmcsamp()   John Maindonald
      • [R-sig-ME] Intelligent use of mcmcsamp()   Jake Bowers
      • [R-sig-ME] Intelligent use of mcmcsamp()   Douglas Bates
      • [R-sig-ME] Intelligent use of mcmcsamp()   John Maindonald
      • [R-sig-ME] Intelligent use of mcmcsamp()   John Maindonald
    • [R-sig-ME] Restrictions on the class of GLMMs   John Maindonald
    • [R-sig-ME] Restrictions on the class of GLMMs   John Maindonald
• [R-sig-ME] Summary output for lmer   Gwyneth Wilson
  • [R-sig-ME] Summary output for lmer   Douglas Bates
• [R-sig-ME] z transform versus random intercept   espesser
  • [R-sig-ME] z transform versus random intercept   Douglas Bates
    • [R-sig-ME] z transform versus random intercept   Daniel Ezra Johnson
• [R-sig-ME] R-sig-mixed-models Digest, Vol 36, Issue 3   Malcolm Fairbrother
• [R-sig-ME] randomized block design model specification   jos matejus
• [R-sig-ME] Convergence problem with lmer with non-centered WWheat data   Phillip Chapman
  • [R-sig-ME] Convergence problem with lmer with non-centered WWheat data   Douglas Bates
• [R-sig-ME] Simulation of Multilevel (nested) data   CHRIS M SWOBODA
• [R-sig-ME] Interpretation of the random effect in Linear Mixed-Effects Models (lme) and parameter estimation   R.S. Cotter
• [R-sig-ME] Should I include Items as a random effect?   Antoine Tremblay
• [R-sig-ME] The effects of adding by-subject or by-item random intercepts   Antoine Tremblay
  • [R-sig-ME] The effects of adding by-subject or by-item random intercepts   John Maindonald
  • [R-sig-ME] The effects of adding by-subject or by-item random intercepts   Daniel Ezra Johnson
    • [R-sig-ME] The effects of adding by-subject or by-item random intercepts   Antoine Tremblay
      • [R-sig-ME] The effects of adding by-subject or by-item random intercepts   Daniel Ezra Johnson
• [R-sig-ME] possible side effect of gdata library on dotplot of random terms   espesser
  • [R-sig-ME] possible side effect of gdata library on dotplot of random terms   Douglas Bates
    • [R-sig-ME] possible side effect of gdata library on dotplot of random terms   espesser
  • [R-sig-ME] possible side effect of gdata library on dotplot of random terms   Kevin Wright
• [R-sig-ME] Model selection and averaging   Marcio M. de Morais Jr.
  • [R-sig-ME] Model selection and averaging   Luca Borger
    • [R-sig-ME] Model selection and averaging   Marcio M. de Morais Jr.
      • [R-sig-ME] Model selection and averaging   Ben Bolker
• [R-sig-ME] compilation errors on current (r-forge) lme4a   Ben Bolker
  • [R-sig-ME] compilation errors on current (r-forge) lme4a   Douglas Bates
• [R-sig-ME] specifying independence of random effects?   Rob Forsyth
  • [R-sig-ME] specifying independence of random effects?   ONKELINX, Thierry
• [R-sig-ME] [R] updating arguments of formulae   Moreno Ignazio Coco
  • [R-sig-ME] [R] updating arguments of formulae   Meyners, Michael, LAUSANNE, AppliedMathematics
• [R-sig-ME] zipoisson in MCMCglmm   Celine Teplitsky
• [R-sig-ME] nlmer model syntax   Coe, Richard (ICRAF-ILRI)
  • [R-sig-ME] nlmer model syntax   Coe, Richard (ICRAF-ILRI)
• [R-sig-ME] random effects estimation in Lmer   Hester Lingsma
  • [R-sig-ME] Random effects estimation in Lmer   Hester Lingsma
  • [R-sig-ME] random effects estimation in Lmer   David Duffy
    • [R-sig-ME] random effects estimation in Lmer   Henric (Nilsson) Winell
      • [R-sig-ME] random effects estimation in Lmer   David Duffy
      • [R-sig-ME] random effects estimation in Lmer   Hester Lingsma
• [R-sig-ME] Estimating the correlation between random slopes and intercepts   Nick Isaac
• [R-sig-ME] what kind of analysis should be used when there are several correlated dependent variables?   Liliana Martinez
  • [R-sig-ME] what kind of analysis should be used when there are several correlated dependent variables?   Liliana Martinez
    • [R-sig-ME] what kind of analysis should be used when there are several correlated dependent variables?   David Atkins
      • [R-sig-ME] Vedr. what kind of analysis should be used when there are several correlated dependent variables?   Liliana Martinez
      • [R-sig-ME] Vedr. what kind of analysis should be used when there are several correlated dependent variables?   David Atkins
• [R-sig-ME] Inquiry regarding 'lme4' package in R   김혜숙
  • [R-sig-ME] Inquiry regarding 'lme4' package in R   김혜숙
• [R-sig-ME] lmer binomial CI   Arturo Gomez
• [R-sig-ME] MCMCglmm_2.00   Jarrod Hadfield
• [R-sig-ME] Variable selection: AIC versus Z-statistic   Kardynal,Kevin [Yel]
  • [R-sig-ME] Variable selection: AIC versus Z-statistic   Ben Bolker
• [R-sig-ME] False convergence of glmer model and loglikelihood   Tahira Jamil
  • [R-sig-ME] False convergence of glmer model and loglikelihood   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Aggregate binary response variable   Graham Leask
  • [R-sig-ME] Aggregate binary response variable   milton ruser
  • [R-sig-ME] Aggregate binary response variable   Highland Statistics Ltd.
• [R-sig-ME] [R] Multiple CHOLMOD errors when attempting poisson glmm   Douglas Bates
  • [R-sig-ME] [R] Multiple CHOLMOD errors when attempting poisson glmm   Marielle Postava-Davig
• [R-sig-ME] MlmSoftRev   Gabor Grothendieck
  • [R-sig-ME] MlmSoftRev   Douglas Bates
• [R-sig-ME] Update: Multiple CHOLMOD errors when attempting poisson glmm   Marielle Postava-Davig

Last message date: Sun Dec 27 19:09:17 CET 2009
Archived on: Tue Apr 10 08:49:59 CEST 2012

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