R-SIG-mixed-models May 2016

Adelaide course: Introduction to mixed modelling

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1 msg · May 15

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Highland Statistics Ltd Adelaide course: Introduction to mixed modelling May 15, 2016

Advice for analysis of biological data - Mixed model or NESTED-Anova?

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E

4 msgs · May 25 – May 31

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Savani Anbalagan Advice for analysis of biological data - Mixed model or NESTED-Anova? May 25, 2016

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Evan Palmer-Young Advice for analysis of biological data - Mixed model or NESTED-Anova? May 25, 2016

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Savani Anbalagan Advice for analysis of biological data - Mixed model or NESTED-Anova? May 26, 2016

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Evan Palmer-Young Advice for analysis of biological data - Mixed model or NESTED-Anova? May 31, 2016

Analyzing evolution of resistance

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1 msg · May 13

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Evan Palmer-Young Analyzing evolution of resistance May 13, 2016

Comparing mixed models

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A

10 msgs · May 7 – May 11

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Carlos Barboza Comparing mixed models May 7, 2016

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Ben Bolker Comparing mixed models May 7, 2016

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Carlos Barboza Comparing mixed models May 7, 2016

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Alex Fine Comparing mixed models May 8, 2016

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Jean-Philippe Laurenceau Comparing mixed models May 10, 2016

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Alex Fine Comparing mixed models May 10, 2016

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Paul Debes Comparing mixed models May 10, 2016

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John Maindonald Comparing mixed models May 10, 2016

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Paul Debes Comparing mixed models May 11, 2016

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Thierry Onkelinx Comparing mixed models May 11, 2016

Convergence Problems with glmer.nb model

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B

2 msgs · May 2 – May 11

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Thierry Onkelinx Convergence Problems with glmer.nb model May 2, 2016

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Ben Bolker Convergence Problems with glmer.nb model May 11, 2016

Course: Introduction to Zero Inflated Models

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1 msg · May 24

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Highland Statistics Ltd Course: Introduction to Zero Inflated Models May 24, 2016

Details control options for glmmADMB

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2 msgs · May 16 – May 16

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Fraixedas, Sara Details control options for glmmADMB May 16, 2016

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Ben Bolker Details control options for glmmADMB May 16, 2016

ENQUIRY: independent slopes of categorical effects in a random-effects

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1 msg · May 11

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Blything, Liam ENQUIRY: independent slopes of categorical effects in a random-effects May 11, 2016

Help with MCMC fitting in R

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2 msgs · May 9 – May 11

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Janelle Sylvester Help with MCMC fitting in R May 9, 2016

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Ben Bolker Help with MCMC fitting in R May 11, 2016

How sinful is it to...

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2 msgs · May 5 – May 7

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David Sidhu How sinful is it to... May 5, 2016

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Ben Bolker How sinful is it to... May 7, 2016

Interpreting fixed effects of mcmcglmm interaction and randomisation

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3 msgs · May 13 – May 27

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Rob Griffin Interpreting fixed effects of mcmcglmm interaction and randomisation May 13, 2016

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Jarrod Hadfield Interpreting fixed effects of mcmcglmm interaction and randomisation May 16, 2016

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Rob Griffin Interpreting fixed effects of mcmcglmm interaction and randomisation May 27, 2016

Is multi-level modelling applicable to crossed designs?

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D

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3 msgs · May 4 – May 4

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bernhard.voelkl at vetsuisse.unibe.ch Is multi-level modelling applicable to crossed designs? May 4, 2016

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Douglas Bates Is multi-level modelling applicable to crossed designs? May 4, 2016

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Steven J. Pierce Is multi-level modelling applicable to crossed designs? May 4, 2016

Justification to exclude random effect

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B

3 msgs · May 9 – May 10

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Reuben Smit Justification to exclude random effect May 9, 2016

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Baldwin, Jim -FS Justification to exclude random effect May 9, 2016

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Reuben Smit Justification to exclude random effect May 10, 2016

Mixed mutlinomial regression for count data with overdisperion & zero-inflation

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1 msg · May 16

B

Ben Bolker Mixed mutlinomial regression for count data with overdisperion & zero-inflation May 16, 2016

Mixed mutlinomial regression for count data with overdisperion & zero-inflation

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2 msgs · May 13 – May 16

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Stéphanie Périquet Mixed mutlinomial regression for count data with overdisperion & zero-inflation May 13, 2016

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Stéphanie Périquet Mixed mutlinomial regression for count data with overdisperion & zero-inflation May 16, 2016

Orthogonal vs. Non-orthogonal contrasts

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6 msgs · May 24 – May 30

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Yasuaki SHINOHARA Orthogonal vs. Non-orthogonal contrasts May 24, 2016

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Thierry Onkelinx Orthogonal vs. Non-orthogonal contrasts May 25, 2016

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Yasuaki SHINOHARA Orthogonal vs. Non-orthogonal contrasts May 25, 2016

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Thierry Onkelinx Orthogonal vs. Non-orthogonal contrasts May 25, 2016

Y

Yasuaki SHINOHARA Orthogonal vs. Non-orthogonal contrasts May 30, 2016

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Thierry Onkelinx Orthogonal vs. Non-orthogonal contrasts May 30, 2016

Population weights in a Poisson model with overdispersion

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T

2 msgs · May 24 – May 25

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Theodore Lytras Population weights in a Poisson model with overdispersion May 24, 2016

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Thierry Onkelinx Population weights in a Poisson model with overdispersion May 25, 2016

Question about random effects

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4 msgs · May 23 – May 23

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Adriana Maldonado Chaparro Question about random effects May 23, 2016

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Thierry Onkelinx Question about random effects May 23, 2016

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Ben Bolker Question about random effects May 23, 2016

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Reinhold Kliegl Question about random effects May 23, 2016

Setting start values for log binomial model in glmmPQL

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4 msgs · May 1 – May 3

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Jennifer Yourkavitch Setting start values for log binomial model in glmmPQL May 1, 2016

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Ben Bolker Setting start values for log binomial model in glmmPQL May 2, 2016

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Thierry Onkelinx Setting start values for log binomial model in glmmPQL May 2, 2016

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Jennifer Yourkavitch Setting start values for log binomial model in glmmPQL May 3, 2016

Species as both fixed and random effect

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2 msgs · May 10 – May 10

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Liliana D'Alba Altamirano Species as both fixed and random effect May 10, 2016

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Paul Debes Species as both fixed and random effect May 10, 2016

Toeplitz correlation object for nlme

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3 msgs · May 2 – May 2

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Asher Strauss Toeplitz correlation object for nlme May 2, 2016

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Thierry Onkelinx Toeplitz correlation object for nlme May 2, 2016

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Ben Bolker Toeplitz correlation object for nlme May 2, 2016

Using r for multi-level meta-analysis

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4 msgs · May 15 – May 16

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איציק פרדקין Using r for multi-level meta-analysis May 15, 2016

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Mike Cheung Using r for multi-level meta-analysis May 15, 2016

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Viechtbauer Wolfgang (STAT) Using r for multi-level meta-analysis May 15, 2016

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Mike Cheung Using r for multi-level meta-analysis May 16, 2016

Why se.fit differ in predict.glm and predict.glmmadmb?

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2 msgs · May 7 – May 9

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Ben Bolker Why se.fit differ in predict.glm and predict.glmmadmb? May 7, 2016

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Ben Bolker Why se.fit differ in predict.glm and predict.glmmadmb? May 9, 2016

Why se.fit differ in predict.glm and predict.glmmadmb?

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B

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6 msgs · May 3 – May 9

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Alex Why se.fit differ in predict.glm and predict.glmmadmb? May 3, 2016

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Ben Bolker Why se.fit differ in predict.glm and predict.glmmadmb? May 3, 2016

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Alex Why se.fit differ in predict.glm and predict.glmmadmb? May 4, 2016

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Phillip Alday Why se.fit differ in predict.glm and predict.glmmadmb? May 4, 2016

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Alex Why se.fit differ in predict.glm and predict.glmmadmb? May 4, 2016

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Alex Why se.fit differ in predict.glm and predict.glmmadmb? May 9, 2016

design matrix for R2

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B

2 msgs · May 1 – May 1

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Rob Griffin design matrix for R2 May 1, 2016

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Ben Bolker design matrix for R2 May 1, 2016

e-book

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D

3 msgs · May 17 – May 18

王

王睿 e-book May 17, 2016

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Jeff Newmiller e-book May 17, 2016

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Douglas Bates e-book May 18, 2016

extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.

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1 msg · May 7

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Ben Bolker extract level 2 residuals of merMod from lme() and test for spatial autocorrelation. May 7, 2016

extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.

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B

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4 msgs · May 5 – May 11

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Dexter Locke extract level 2 residuals of merMod from lme() and test for spatial autocorrelation. May 5, 2016

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Dexter Locke extract level 2 residuals of merMod from lme() and test for spatial autocorrelation. May 11, 2016

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Ben Bolker extract level 2 residuals of merMod from lme() and test for spatial autocorrelation. May 11, 2016

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Malcolm Fairbrother extract level 2 residuals of merMod from lme() and test for spatial autocorrelation. May 11, 2016

linear model selection analysis

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J

2 msgs · May 11 – May 11

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Harriet Jamieson linear model selection analysis May 11, 2016

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Jarrod Hadfield linear model selection analysis May 11, 2016

lme with cyclic cubic regression splines

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3 msgs · May 12 – May 16

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Gabriela Czanner lme with cyclic cubic regression splines May 12, 2016

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Alexandre Villers lme with cyclic cubic regression splines May 14, 2016

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Ben Bolker lme with cyclic cubic regression splines May 16, 2016

lmer() fit

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B

3 msgs · May 17 – May 18

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Chaitanya Acharya lmer() fit May 17, 2016

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Ben Bolker lmer() fit May 17, 2016

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Ben Pelzer lmer() fit May 18, 2016

mixed mutlinomial regression for count data with, overdisperion & zero-inflation

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10 msgs · May 17 – May 20

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Highland Statistics Ltd mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 17, 2016

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Stéphanie Périquet mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 17, 2016

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Highland Statistics Ltd mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 17, 2016

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Stéphanie Périquet mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 18, 2016

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Highland Statistics Ltd mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 18, 2016

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Stéphanie Périquet mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 18, 2016

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dave fournier mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 19, 2016

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dave fournier mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 19, 2016

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Stéphanie Périquet mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 20, 2016

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dave fournier mixed mutlinomial regression for count data with, overdisperion & zero-inflation May 20, 2016

nesting hierarchy in glmer

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2 msgs · May 29 – May 30

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Hariet Rose nesting hierarchy in glmer May 29, 2016

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Thierry Onkelinx nesting hierarchy in glmer May 30, 2016

question about predict using lme4

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L

2 msgs · May 5 – May 5

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Li, Xiaoma [GE AT] question about predict using lme4 May 5, 2016

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Lionel question about predict using lme4 May 5, 2016

residual covariance in trivariate MCMCglmm model with different error families

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1 msg · May 20

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claudia.kasper at iee.unibe.ch residual covariance in trivariate MCMCglmm model with different error families May 20, 2016

strong effect of prior on residual variance

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4 msgs · May 5 – May 5

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Rob Griffin strong effect of prior on residual variance May 5, 2016

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Jarrod Hadfield strong effect of prior on residual variance May 5, 2016

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Rob Griffin strong effect of prior on residual variance May 5, 2016

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Jarrod Hadfield strong effect of prior on residual variance May 5, 2016

syntax for random effects for an autocorrelated time series

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1 msg · May 3

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Steven Orzack syntax for random effects for an autocorrelated time series May 3, 2016