Generalized Linear Mixed Models - Theory | Model Specification | Estimation | Generalized Linear Mixed Models - Practice | Mixed Effects Logistic Regression | Penalized Mixed Effects Poisson Regression
Package: GLMMadaptive 0.9-8
GLMMadaptive: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.
Authors:
GLMMadaptive_0.9-8.tar.gz
GLMMadaptive_0.9-8.zip(r-4.7)GLMMadaptive_0.9-8.zip(r-4.6)GLMMadaptive_0.9-8.zip(r-4.5)
GLMMadaptive_0.9-8.tgz(r-4.6-any)GLMMadaptive_0.9-8.tgz(r-4.5-any)
GLMMadaptive_0.9-8.tar.gz(r-4.7-any)GLMMadaptive_0.9-8.tar.gz(r-4.6-any)
GLMMadaptive_0.9-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GLMMadaptive/json (API)
| # Install 'GLMMadaptive' in R: |
| install.packages('GLMMadaptive', repos = c('https://drizopoulos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drizopoulos/glmmadaptive/issues
Pkgdown/docs site:https://drizopoulos.github.io
generalized-linear-mixed-modelsmixed-effects-modelsmixed-models
Last updated from:36b1b26d61. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 205 | ||
| source / vignettes | OK | 227 | ||
| linux-release-x86_64 | OK | 195 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 126 | ||
| windows-devel | OK | 167 | ||
| windows-release | OK | 192 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 134 |
Exports:anovabeta.binomialbeta.famcensored.normalcoefconfintcooks.distancecr_marg_probscr_setupeffectPlotDatafittedfixefformulaGamma.famhurdle.beta.famhurdle.lognormalhurdle.negative.binomialhurdle.poissonmarginal_coefsmixed_modelmodel.framemodel.matrixnegative.binomialnobspredictranefresidualsscoring_rulessimulatestudents.ttermsunit.lindleyVIFzi.binomialzi.negative.binomialzi.poisson
Dependencies:latticeMASSmatrixStatsnlme
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Functions to Set-Up Data for a Continuation Ratio Mixed Model | cr_marg_probs cr_setup |
| Predicted Values for Effects Plots | effectPlotData effectPlotData.MixMod |
| Family functions for Student's-t, Beta, Zero-Inflated and Hurdle Poisson and Negative Binomial, Hurdle Log-Normal, Hurdle Beta, Gamma, and Censored Normal Mixed Models | beta.binomial beta.fam censored.normal Gamma.fam hurdle.beta.fam hurdle.lognormal hurdle.negative.binomial hurdle.poisson students.t unit.lindley zi.binomial zi.negative.binomial zi.poisson |
| Generalized Linear Mixed Models using Adaptive Gaussian Quadrature | GLMMadaptive-package GLMMadaptive |
| Marginal Coefficients from Generalized Linear Mixed Models | marginal_coefs marginal_coefs.MixMod |
| Generalized Linear Mixed Effects Models | mixed_model |
| Various Methods for Standard Generics | anova anova.MixMod coef coef.MixMod confint confint.MixMod cooks.distance cooks.distance.MixMod fitted fitted.MixMod fixef fixef.MixMod formula formula.MixMod methods.MixMod model.frame model.frame.MixMod model.matrix model.matrix.MixMod nobs nobs.MixMod predict predict.MixMod ranef ranef.MixMod residuals residuals.MixMod simulate simulate.MixMod terms terms.MixMod VIF VIF.MixMod |
| Family function for Negative Binomial Mixed Models | negative.binomial |
| Proper Scoring Rules for Categorical Data | scoring_rules |
