Third quarter 2016 Archives by thread

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Starting: Fri Jul 1 02:28:47 CEST 2016
Ending: Fri Sep 30 23:05:14 CEST 2016
Messages: 232

• [R-sig-ME] Overdispersion and R2 in GLMM   Ben Bolker
  • [R-sig-ME] Overdispersion and R2 in GLMM   Teresa Oliveira
• [R-sig-ME] Negative Binomial in glmmadmb   Ben Bolker
  • [R-sig-ME] Negative Binomial in glmmadmb   Chad Newbolt
    • [R-sig-ME] Negative Binomial in glmmadmb   Philipp Singer
      • [R-sig-ME] Negative Binomial in glmmadmb   Chad Newbolt
      • [R-sig-ME] Negative Binomial in glmmadmb   Chad Newbolt
      • [R-sig-ME] Negative Binomial in glmmadmb   Mollie Brooks
      • [R-sig-ME] Negative Binomial in glmmadmb   Chad Newbolt
      • [R-sig-ME] Negative Binomial in glmmadmb   Ben Bolker
• [R-sig-ME] Question about zero-inflated Poisson glmer   Ben Bolker
• [R-sig-ME] Specifying outcome variable in binomial glmm: single responses vs cbind?   a y
  • [R-sig-ME] Specifying outcome variable in binomial glmm: single responses vs cbind?   Ben Bolker
  • [R-sig-ME] Specifying outcome variable in binomial glmm: single responses vs cbind?   a y
  • [R-sig-ME] Specifying outcome variable in binomial glmm: single responses vs cbind?   Malcolm Fairbrother
    • [R-sig-ME] Specifying outcome variable in binomial glmm: single responses vs cbind?   Ben Bolker
• [R-sig-ME] (no subject)   Quentin Schorpp
  • [R-sig-ME] (no subject)   Meir Barneron
    • [R-sig-ME] (no subject)   Dan McCloy
      • [R-sig-ME] (no subject)   Dan McCloy
      • [R-sig-ME] (no subject)   Meir Barneron
• [R-sig-ME] Help concerning GLMM estimation needed   Isaac Adeniyi
  • [R-sig-ME] Help concerning GLMM estimation needed   Ben Bolker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 115, Issue 4   Isaac Adeniyi
• [R-sig-ME] afex package & bootstrapping   Daniel McCloy
  • [R-sig-ME] afex package & bootstrapping   Henrik Singmann
• [R-sig-ME] correlated samples   Joaquín Aldabe
  • [R-sig-ME] correlated samples   Thierry Onkelinx
    • [R-sig-ME] correlated samples   Joaquín Aldabe
      • [R-sig-ME] correlated samples   Thierry Onkelinx
      • [R-sig-ME] correlated samples   Joaquín Aldabe
      • [R-sig-ME] correlated samples   Thierry Onkelinx
      • [R-sig-ME] correlated samples   Highland Statistics Ltd
• [R-sig-ME] Fixed Effects in lme function   li li
• [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Teresa Oliveira
  • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Ben Bolker
    • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Craig DeMars
      • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Teresa Oliveira
      • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Craig DeMars
      • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Teresa Oliveira
    • [R-sig-ME] GLMM- relationship between AICc weight and random effects?   Teresa Oliveira
• [R-sig-ME] Course in Alice Springs: Data exploration, regression, GLM & GAM   Highland Statistics Ltd
  • [R-sig-ME] lme: several slopes, same variance, no correlation   Ben Pelzer
    • [R-sig-ME] lme: several slopes, same variance, no correlation   Thierry Onkelinx
      • [R-sig-ME] lme: several slopes, same variance, no correlation   Douglas Bates
• [R-sig-ME] glmmADMB   Tharayil, Joseph (NIH/NINDS) [F]
  • [R-sig-ME] glmmADMB   Mollie Brooks
• [R-sig-ME] Vegan   Kristen Whitbeck
  • [R-sig-ME] Vegan   romunov
    • [R-sig-ME] Vegan   Ben Bolker
• [R-sig-ME] K-fold cross validation of GLMMs   Teresa Oliveira
  • [R-sig-ME] K-fold cross validation of GLMMs   Ben Bolker
• [R-sig-ME] Factors in nlme: singularity in backsolve error   Alexander Shenkin
• [R-sig-ME] cross validation for discrete time survival analysis   shahla ebrahimi
  • [R-sig-ME] cross validation on discrete time survival analysis   shahla ebrahimi
    • [R-sig-ME] cross validation on discrete time survival analysis   shahla ebrahimi
      • [R-sig-ME] cross validation on discrete time survival analysis   shahla ebrahimi
• [R-sig-ME] R-sig-mixed-models Digest, Vol 115, Issue 19   Mattia Manica
• [R-sig-ME] LaplacesDemon back on CRAN   Henrik Singmann
• [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jannik Vindeløv
  • [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jarrod Hadfield
    • [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jannik Vindeløv
      • [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jarrod Hadfield
    • [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jannik Vindeløv
      • [R-sig-ME] Question regarding MCMCglmm model structure for correlated responses   Jarrod Hadfield
• [R-sig-ME] lme4 random effects for repeated measures, unbalanced data   Ann Marie Raymondi
  • [R-sig-ME] lme4 random effects for repeated measures, unbalanced data   Ben Bolker
• [R-sig-ME] PQL and crossed designs   Sophia Kyriakou
• [R-sig-ME] Repeated measures with a non-linear time effect   Daniel Rubi
  • [R-sig-ME] Repeated measures with a non-linear time effect   Jörg Albrecht
    • [R-sig-ME] Repeated measures with a non-linear time effect   Daniel Rubi
      • [R-sig-ME] Repeated measures with a non-linear time effect   Jörg Albrecht
      • [R-sig-ME] Repeated measures with a non-linear time effect   Daniel Rubi
• [R-sig-ME] Fwd: Multinomial response variable   Célia Sofia Moreira
  • [R-sig-ME] Fwd: Multinomial response variable   Ben Bolker
• [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Patrick Johann Schratz
  • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Phillip Alday
  • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Patrick Johann Schratz
    • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Thierry Onkelinx
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Ben Bolker
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Patrick Johann Schratz
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Patrick Johann Schratz
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Thierry Onkelinx
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Thierry Onkelinx
      • [R-sig-ME] glmmPQL crashes on inclusion of corSpatial object   Ben Bolker
• [R-sig-ME] When can the intercept be removed from regression models   Shadiya Al Hashmi
  • [R-sig-ME] When can the intercept be removed from regression models   Thierry Onkelinx
    • [R-sig-ME] When can the intercept be removed from regression models   Shadiya Al Hashmi
      • [R-sig-ME] When can the intercept be removed from regression models   Martin Maechler
      • [R-sig-ME] When can the intercept be removed from regression models   Shadiya Al Hashmi
      • [R-sig-ME] When can the intercept be removed from regression models   Tom Fritzsche
      • [R-sig-ME] When can the intercept be removed from regression models   Ben Bolker
      • [R-sig-ME] When can the intercept be removed from regression models   Shadiya Al Hashmi
• [R-sig-ME] individual variation in reaction norm   Simona Kralj Fiser
• [R-sig-ME] Function to get residuals & fitted values from Poisson GLMM with OLRE   Paul Johnson
• [R-sig-ME] How can a mixed model differentiate the fixed effect and random effect when there is only one group of control in the data?   Chen Chun
  • [R-sig-ME] How can a mixed model differentiate the fixed effect and random effect when there is only one group of control in the data?   Aaron Mackey
    • [R-sig-ME] 答复: How can a mixed model differentiate the fixed effect and random effect when there is only one group of control in the data?   Chen Chun
• [R-sig-ME] simulation of factor-specific random effect variance estimation, the order of assigned variance matters?   Chen Chun
  • [R-sig-ME] simulation of factor-specific random effect variance estimation, the order of assigned variance matters?   Paul Debes
    • [R-sig-ME] simulation of factor-specific random effect variance estimation, the order of assigned variance matters?   Chen Chun
      • [R-sig-ME] simulation of factor-specific random effect variance estimation, the order of assigned variance matters?   Paul Debes
• [R-sig-ME] model advice   Guy,Travis J
  • [R-sig-ME] model advice   Ben Bolker
• [R-sig-ME] Random slope does not improve hierarchical fitting across time   xavier piulachs
  • [R-sig-ME] Random slope does not improve hierarchical fitting across time   Ben Bolker
    • [R-sig-ME] Random slope does not improve hierarchical fitting across time   xavier piulachs
      • [R-sig-ME] Random slope does not improve hierarchical fitting across time   Phillip Alday
• [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Steven Orzack
  • [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Ben Bolker
  • [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Steven Orzack
    • [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Ben Bolker
  • [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Steven Orzack
  • [R-sig-ME] time series with autcorrelated errors - matrix not invertible   Steven Orzack
• [R-sig-ME] Replicating analysis in asreml in lme4   Aravind J.
  • [R-sig-ME] Replicating analysis in asreml in lme4   Ben Bolker
    • [R-sig-ME] Replicating analysis in asreml in lme4   Kevin Wright
• [R-sig-ME] try lme instead   Gregoire, Timothy
  • [R-sig-ME] try lme instead   Ben Bolker
• [R-sig-ME] MCMCglmm function   Arianna Cecchetti
  • [R-sig-ME] MCMCglmm function   Ben Bolker
• [R-sig-ME] lme for data that is not normally distributed   moses selebatso
  • [R-sig-ME] lme for data that is not normally distributed   Highland Statistics Ltd
    • [R-sig-ME] lme for data that is not normally distributed   moses selebatso
      • [R-sig-ME] lme for data that is not normally distributed   Paul Johnson
      • [R-sig-ME] lme for data that is not normally distributed   moses selebatso
      • [R-sig-ME] lme for data that is not normally distributed   Ben Bolker
      • [R-sig-ME] lme for data that is not normally distributed   John Maindonald
  • [R-sig-ME] lme for data that is not normally distributed   Highland Statistics Ltd
• [R-sig-ME] Setting average as baseline rather than a dummy variable in a negative binomial glm   Daniel Rubi
  • [R-sig-ME] Setting average as baseline rather than a dummy variable in a negative binomial glm   Aitor Gastón
• [R-sig-ME] Question about misspecified multilevel model   Christopher David Desjardins
  • [R-sig-ME] Question about misspecified multilevel model   Phillip Alday
    • [R-sig-ME] Question about misspecified multilevel model   Christopher David Desjardins
• [R-sig-ME] glmer   Bence Bagó
  • [R-sig-ME] glmer   Steven J. Pierce
• [R-sig-ME] Making lme4 faster for specific case of sparse x   Patrick Miller
  • [R-sig-ME] Making lme4 faster for specific case of sparse x   Douglas Bates
    • [R-sig-ME] Making lme4 faster for specific case of sparse x   Patrick Miller
      • [R-sig-ME] Making lme4 faster for specific case of sparse x   Douglas Bates
      • [R-sig-ME] Making lme4 faster for specific case of sparse x   Ben Bolker
• [R-sig-ME] Unable to standardize global glmmadmb model   Aoibheann Gaughran
• [R-sig-ME] cross validation for lme4   shahla ebrahimi
• [R-sig-ME] simulate for glmmADMB   Ben Bolker
• [R-sig-ME] searchable archives?   Ben Bolker
  • [R-sig-ME] searchable archives?   Viechtbauer Wolfgang (STAT)
  • [R-sig-ME] searchable archives?   Jake Westfall
    • [R-sig-ME] searchable archives?   Jake Westfall
      • [R-sig-ME] searchable archives?   Phillip Alday
    • [R-sig-ME] searchable archives?   peter dalgaard
• [R-sig-ME] cross-validation   Ben Bolker
  • [R-sig-ME] cross-validation   shahla ebrahimi
• [R-sig-ME] glmmTMB: variance-covariance matrix parameterization   Sophia Kyriakou
  • [R-sig-ME] glmmTMB: variance-covariance matrix parameterization   Ben Bolker
• [R-sig-ME] Unable to standardize glmmADMB global model   Aoibheann Gaughran
  • [R-sig-ME] Unable to standardize glmmADMB global model   Ben Bolker
    • [R-sig-ME] Unable to standardize glmmADMB global model   Aoibheann Gaughran
      • [R-sig-ME] Unable to standardize glmmADMB global model   Ben Bolker
      • [R-sig-ME] Unable to standardize glmmADMB global model   Aoibheann Gaughran
      • [R-sig-ME] Unable to standardize glmmADMB global model   Ben Bolker
      • [R-sig-ME] Unable to standardize glmmADMB global model   Aoibheann Gaughran
      • [R-sig-ME] Unable to standardize glmmADMB global model   Ben Bolker
      • [R-sig-ME] Unable to standardize glmmADMB global model   Aoibheann Gaughran
      • [R-sig-ME] Unable to standardize glmmADMB global model   Ben Bolker
• [R-sig-ME] Obtaining all effects in a multinomial regression where the grand mean is set as baseline   Daniel Rubi
• [R-sig-ME] Obtaining all effects in a multinomial regression   Lenth, Russell V
• [R-sig-ME] Confidence intervals on predictions for a non-linear mixed model (nlme)   Piet van den Berg
  • [R-sig-ME] Confidence intervals on predictions for a non-linear mixed model (nlme)   Paul Buerkner
• [R-sig-ME] Question Regarding the BootMer function   Malcolm Wolff
• [R-sig-ME] Course: Introduction to Regression Models with Spatial and Temporal Correlation   Highland Statistics Ltd
• [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Shadiya Al Hashmi
  • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Thierry Onkelinx
    • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Shadiya Al Hashmi
    • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Steven J. Pierce
      • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Ben Bolker
      • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Steven J. Pierce
      • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   David Duffy
      • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Steven J. Pierce
      • [R-sig-ME] Anova II table, df, drop1 and very complex regression models!   Shadiya Al Hashmi
• [R-sig-ME] a question of conducting contrast in lme4 (not pairwise contrast)   Gu Hao
  • [R-sig-ME] a question of conducting contrast in lme4 (not pairwise contrast)   Ben Bolker
    • [R-sig-ME] a question of conducting contrast in lme4 (not pairwise contrast)   Price, Emily
      • [R-sig-ME] a question of conducting contrast in lme4 (not pairwise contrast)   Ben Bolker
• [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Chen, Chun
  • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Ben Bolker
    • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   joaquin.aldabe at gmail.com
      • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Poe, John
      • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   joaquin.aldabe at gmail.com
      • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   David Duffy
      • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Joaquín Aldabe
  • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Chen, Chun
    • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Poe, John
  • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   François Rousset
    • [R-sig-ME] Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?   Chen, Chun
• [R-sig-ME] Experience with PyMC3 Bambi package?   Douglas Bates
  • [R-sig-ME] Experience with PyMC3 Bambi package?   Phillip Alday
    • [R-sig-ME] Experience with PyMC3 Bambi package?   Jake Westfall
• [R-sig-ME] Handling missing data through Gaussian mixture model   jas ni
• [R-sig-ME] MCMCglmm predict fails on MCMCglmm output generated 11/15/15   Kerry Samerotte
  • [R-sig-ME] MCMCglmm predict fails on MCMCglmm output generated 11/15/15   Jarrod Hadfield
• [R-sig-ME] A sledgehammer to crack a nut?   Quentin Schorpp
  • [R-sig-ME] A sledgehammer to crack a nut?   John Sorkin
    • [R-sig-ME] A sledgehammer to crack a nut?   Thierry Onkelinx
      • [R-sig-ME] A sledgehammer to crack a nut?   Quentin Schorpp
      • [R-sig-ME] A sledgehammer to crack a nut?   Thierry Onkelinx
• [R-sig-ME] error: 'Calloc' could not allocate memory   Diego Pavon
  • [R-sig-ME] error: 'Calloc' could not allocate memory   Thierry Onkelinx
    • [R-sig-ME] error: 'Calloc' could not allocate memory   Thierry Onkelinx
• [R-sig-ME] Course: Data exploration, regression, GLM & GAM with introduction to R   Highland Statistics Ltd
• [R-sig-ME] Reporting means and standard deviation from lme   moses selebatso
• [R-sig-ME] Cross-classified multilevel binary logistic regression model with random effects at level 2   MACDOUGALL Margaret
  • [R-sig-ME] Cross-classified multilevel binary logistic regression model with random effects at level 2   Doran, Harold
    • [R-sig-ME] Cross-classified multilevel binary logistic regression model with random effects at level 2   MACDOUGALL Margaret
• [R-sig-ME] repeated-measures correlation coefficient?   Lee Wurm
  • [R-sig-ME] repeated-measures correlation coefficient?   Phillip Alday
• [R-sig-ME] mcmcsamp   Oliver Soong
• [R-sig-ME] multilevel ZINB mixture model (interpreting interactions with time)   MARIA OLGA VIEDMA SILLERO
• [R-sig-ME] mhglm as a substitute for glmer in case of quasi-complete separation   Tibor Kiss
  • [R-sig-ME] mhglm as a substitute for glmer in case of quasi-complete separation   Ben Bolker
• [R-sig-ME] varIdent warnings in nlme   Cole, Tim
• [R-sig-ME] The role of the Null Model   Quentin Schorpp
• [R-sig-ME] Attention Ben Bolker: Issues with glmer.nb() in R   Dominique Prinsloo
  • [R-sig-ME] Attention Ben Bolker: Issues with glmer.nb() in R   Mollie Brooks
• [R-sig-ME] Error in glmmADMB: no PSV file found -- link to known fix is broken   Mark Albins
  • [R-sig-ME] Error in glmmADMB: no PSV file found -- link to known fix is broken   Ben Bolker
  • [R-sig-ME] Error in glmmADMB: no PSV file found -- link to known fix is broken   Ben Bolker
• [R-sig-ME] Using bootMer for random and fixed effects   Bradley Carlson
• [R-sig-ME] Random effect distributions varying by factor level in an nlme() repeated measures model   Brenden, Travis
  • [R-sig-ME] Random effect distributions varying by factor level in an nlme() repeated measures model   Poe, John
    • [R-sig-ME] Random effect distributions varying by factor level in an nlme() repeated measures model   Brenden, Travis
    • [R-sig-ME] Random effect distributions varying by factor level in an nlme() repeated measures model   Poe, John
• [R-sig-ME] Incomplete two-way ANOVA   Chen, Gang (NIH/NIMH) [C]

Last message date: Fri Sep 30 23:05:14 CEST 2016
Archived on: Fri Sep 30 23:05:22 CEST 2016

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