Package: npmlreg 0.46-5

npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models

Nonparametric maximum likelihood estimation or Gaussian quadrature for overdispersed generalized linear models and variance component models.

Authors:Jochen Einbeck, Ross Darnell and John Hinde

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

Peer review:

Datasets:

On CRAN:

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

3.26 score 1 packages 30 scripts 348 downloads 2 mentions 10 exports 1 dependencies

Last updated 6 years agofrom:e8d3b0bf03. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winOKNov 07 2024
R-4.5-linuxOKNov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:alldistallvcbinomial.expanddkernexpandexpand.vcgqzposttolfindweightslogl.calc.w

Dependencies:statmod

NPML estimation for random effect models in R

Rendered fromnpmlreg-v.Rtexusingutils::Sweaveon Nov 07 2024.

Last update: 2018-04-30
Started: 2013-08-21