Package: robmixglm 1.2-4

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:Ken Beath [aut, cre]

robmixglm_1.2-4.tar.gz
robmixglm_1.2-4.tar.gz(r-4.5-noble)robmixglm_1.2-4.tar.gz(r-4.4-noble)
robmixglm_1.2-4.tgz(r-4.4-emscripten)robmixglm_1.2-4.tgz(r-4.3-emscripten)
robmixglm.pdf |robmixglm.html
robmixglm/json (API)
NEWS

# Install 'robmixglm' in R:
install.packages('robmixglm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.51 score 32 scripts 374 downloads 16 exports 20 dependencies

Last updated 3 months agofrom:550a5904e6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linux-x86_64OKNov 27 2024

Exports:AIC.robmixglmBIC.robmixglmcoef.robmixglmextractAIC.robmixglmfitted.robmixglmlogLik.robmixglmoutlierProbsoutlierProbs.robmixglmoutlierTestoutlierTest.robmixglmpredict.robmixglmprint.outlierTestprint.summary.outlierTestrobmixglmsummary.outlierTestsummary.robmixglm

Dependencies:actuarbbmlebdsmatrixbootcodetoolsdigestdoParalleldoRNGexpintfastGHQuadforeachiteratorslatticeMASSMatrixmvtnormnumDerivRcpprngtoolsVGAM

robmixglm: An R Package for the Analysis of Robust Generalized Linear Models

Rendered fromrobmixglm-package.pdf.asisusingR.rsp::asison Nov 27 2024.

Last update: 2018-07-31
Started: 2018-07-31