Package: npmlreg 0.46-5

Jochen Einbeck

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

npmlreg_0.46-5.tar.gz
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npmlreg.pdf |npmlreg.html✨
npmlreg/json (API)

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

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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 336 downloads 2 mentions 10 exports 1 dependencies

Last updated 6 years agofrom:e8d3b0bf03. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-linuxOKOct 27 2024

Exports:alldistallvcbinomial.expanddkernexpandexpand.vcgqzposttolfindweightslogl.calc.w

Dependencies:statmod

NPML estimation for random effect models in R

Rendered fromnpmlreg-v.Rtexusingutils::Sweaveon Oct 27 2024.

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