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
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glmm_1.4.5.tgz(r-4.5-x86_64)glmm_1.4.5.tgz(r-4.5-arm64)glmm_1.4.5.tgz(r-4.4-x86_64)glmm_1.4.5.tgz(r-4.4-arm64)glmm_1.4.5.tgz(r-4.3-x86_64)glmm_1.4.5.tgz(r-4.3-arm64)
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://knudson1.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 6 months agofrom:ebacdba823. Checks:11 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 20 2025 |
| R-4.5-win-x86_64 | OK | Feb 20 2025 |
| R-4.5-mac-x86_64 | OK | Feb 20 2025 |
| R-4.5-mac-aarch64 | OK | Feb 20 2025 |
| R-4.5-linux-x86_64 | OK | Feb 20 2025 |
| R-4.4-win-x86_64 | OK | Feb 20 2025 |
| R-4.4-mac-x86_64 | OK | Feb 20 2025 |
| R-4.4-mac-aarch64 | OK | Feb 20 2025 |
| R-4.3-win-x86_64 | OK | Feb 20 2025 |
| R-4.3-mac-x86_64 | OK | Feb 20 2025 |
| R-4.3-mac-aarch64 | OK | Feb 20 2025 |
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 |
