Introduction | Model | Description of the functions | Examples | Summary
This package is considered a duplicate. The official version of this package is found at:https://kjbeath.r-universe.dev/robmixglm
Package: robmixglm 1.2-8
Ken Beath
robmixglm: Robust Generalized Linear Models (GLM) using Mixtures
Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Authors:
robmixglm_1.2-8.tar.gz
robmixglm_1.2-8.tar.gz(r-4.7-arm64)robmixglm_1.2-8.tar.gz(r-4.7-x86_64)robmixglm_1.2-8.tar.gz(r-4.6-arm64)robmixglm_1.2-8.tar.gz(r-4.6-x86_64)
robmixglm_1.2-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
robmixglm/json (API)
| # Install 'robmixglm' in R: |
| install.packages('robmixglm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:05e3bf5e4c. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 192 | ||
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 220 | ||
| linux-release-arm64 | OK | 190 | ||
| linux-release-x86_64 | OK | 176 | ||
| wasm-release | OK | 135 |
Exports:AIC.robmixglmBIC.robmixglmcoef.robmixglmextractAIC.robmixglmfitted.robmixglmlogLik.robmixglmoutlierProbsoutlierProbs.robmixglmoutlierTestoutlierTest.robmixglmpredict.robmixglmprint.outlierTestprint.summary.outlierTestrobmixglmsummary.outlierTestsummary.robmixglm
Dependencies:actuarbbmlebdsmatrixbootexpintfastGHQuadlatticeMASSMatrixmvtnormnumDerivRcppVGAM
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fits random effects meta-analysis models including robust models | robmixglm-package |
| AIC for robmixglm object | AIC.robmixglm |
| BIC for robmixglm object | BIC.robmixglm |
| Coefficients for a robmixglm object | coef coef.robmixglm |
| Diabetes data | diabdata |
| Extract AIC from a Fitted Model | extractAIC.robmixglm |
| Fitted values. | fitted.robmixglm |
| Hospital Costs data | hospcosts |
| log Likelikelihood for robmixglm object | logLik.robmixglm |
| Calculate outlier probabilities for each observation. | outlierProbs outlierProbs.robmixglm |
| Test for the presence of outliers. | outlierTest outlierTest.robmixglm |
| Plot outlier probabilities. | plot.outlierProbs |
| Predict Method for robmixglm | predict.robmixglm |
| Print an outlierTest object | print.outlierTest print.summary.outlierTest summary.outlierTest |
| Extract Model Residuals | residuals.robmixglm |
| Fits a Robust Generalized Linear Model and Variants | robmixglm |
| summaryficients for robmixglm object | summary.robmixglm |
