Posts Tagged ‘ GLMM ’

Conference Presentations

August 15, 2012
By
Conference Presentations

I recently gave a talk at the Ecological Society of America (ESA) annual meeting in Portland, OR and a poster presentation at the World Congress of Herpetology meeting in Vancouver, BC, Canada. Both presentations were comparing generalized linear mixed models … Continue reading →

Read more »

Plotting 95% Confidence Bands in R

July 26, 2012
By
Plotting 95% Confidence Bands in R

I am comparing estimates from subject-specific GLMMs and population-average GEE models as part of a publication I am working on. As part of this, I want to visualize predictions of each type of model including 95% confidence bands. First I had to ma...

Read more »

Model Validation: Interpreting Residual Plots

July 18, 2011
By
Model Validation: Interpreting Residual Plots

When conducting any statistical analysis it is important to evaluate how well the model fits the data and that the data meet the assumptions of the model. There are numerous ways to do this and a variety of statistical tests to evaluate deviations from model assumptions. However, there is little general acceptance of any of the statistical tests. Generally...

Read more »

GLMM Hell

July 7, 2011
By
GLMM Hell

I have been starting to analyze some data I have of repeated counts of salamanders from 5 plots over 4 years. I am trying to develop a predictive model of salamander nighttime surface activity as a function of weather variables. The repeated counting l...

Read more »

Multiple Comparisons for GLMMs using glmer() & glht()

June 14, 2011
By
Multiple Comparisons for GLMMs using glmer() & glht()

...that's an example of how to apply multiple comparisons to a generalised linear mixed model using the function glmer from package lme4 & glht() from package multcomp. By the way you see a nice example for visualizing data from a nested sampli...

Read more »

GLMM and R issues

December 4, 2010
By
GLMM and R issues

I have been trying to run a Generalized Linear Mixed Model (GLMM) for some count data with repeated measures on sub-sampled sites and fixed effects at the site level with covariates at both the sub-plot and time levels.  Plus there are different n...

Read more »

A quetion

June 21, 2010
By
A quetion

I posted a question to the R-Mixed-Model mailing list but have not had any responses yet:--------------------------------------------------------------------------------------- Dear All,I wonder if anybody has tried to make glmmBUGS work with JAGS. Mya...

Read more »

GLMM revisted

March 5, 2010
By
GLMM revisted

A short while ago, I reported some discrepancies between the results produced by "lme4" and other R packages as well as Stata. Today I upgraded to the most recent version of "lme4a" and re-ran my model. The error of false convergence disappea...

Read more »

An interesting paper

February 27, 2010
By
An interesting paper

Ben Bolker has an interesting paper (outline of a paper) comparing different approaches to estimate GLMM in R environment, which is very helpful to what I am doing right now.The paper pointed out the following options to fit GLMM using R:glmerglmmMLglm...

Read more »

Generalized linear mixed effect model problem

February 16, 2010
By
Generalized linear mixed effect model problem

I am trying to compare cohort difference in infant mortality using generalized linear mixed model. I first estimated the model in Stata:xi:xtlogit inftmort i.cohort, i(code)which converged nicely:Fitting comparison model:Iteration 0:   log likelih...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)