Package: glmm 1.4.5
glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
Authors:
glmm_1.4.5.tar.gz
glmm_1.4.5.tar.gz(r-4.5-noble)glmm_1.4.5.tar.gz(r-4.4-noble)
glmm_1.4.5.tgz(r-4.4-emscripten)glmm_1.4.5.tgz(r-4.3-emscripten)
glmm.pdf |glmm.html✨
glmm/json (API)
# Install 'glmm' in R: |
install.packages('glmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Booth2 - A Logit-Normal GLMM Dataset
- BoothHobert - A Logit-Normal GLMM Dataset from Booth and Hobert
- bacteria - Presence of Bacteria after Drug Treatments
- cbpp2 - Contagious Bovine Pleuropneumonia
- murder - Number of Homicide Victims Known
- radish2 - Radish count data set
- salamander - Salamander mating data set from McCullagh and Nelder
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:ebacdba823. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
Exports:bernoulli.glmmbinomial.glmmcoef.glmmglmmlogLik.glmmmcsemcvcovpoisson.glmmsesummary.glmmvarcompsvcov.glmm
Dependencies:codetoolsdoParallelforeachiteratorsitertoolslatticeMatrixmvtnormtrust
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Presence of Bacteria after Drug Treatments | bacteria |
Functions for the Bernoulli family. | bernoulli.glmm |
Functions for the Binomial family. | binomial.glmm |
A Logit-Normal GLMM Dataset | Booth2 |
A Logit-Normal GLMM Dataset from Booth and Hobert | BoothHobert |
Contagious Bovine Pleuropneumonia | cbpp2 |
Extract Model Coefficients | coef.glmm |
Calculates Asymptotic Confidence Intervals | confint.glmm |
Fitting Generalized Linear Mixed Models using MCML | glmm |
Monte Carlo Log Likelihood | logLik.glmm |
Monte Carlo Standard Error | mcse |
Monte Carlo Variance Covariance Matrix | mcvcov |
Number of Homicide Victims Known | murder |
Functions for the Poisson family. | poisson.glmm |
Radish count data set | radish2 |
Salamander mating data set from McCullagh and Nelder (1989) | salamander |
Standard Error | se |
Summarizing GLMM Fits | print.summary.glmm summary.glmm |
Extract Model Variance Components | varcomps |
Variance-Covariance Matrix | vcov.glmm |