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

npmlreg_0.46-5.tar.gz
npmlreg_0.46-5.zip(r-4.7)npmlreg_0.46-5.zip(r-4.6)npmlreg_0.46-5.zip(r-4.5)
npmlreg_0.46-5.tgz(r-4.6-any)npmlreg_0.46-5.tgz(r-4.5-any)
npmlreg_0.46-5.tar.gz(r-4.7-any)npmlreg_0.46-5.tar.gz(r-4.6-any)
npmlreg_0.46-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
npmlreg/json (API)

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

On CRAN:

Conda:

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 330 downloads 2 mentions 10 exports 1 dependencies

Last updated from:e8d3b0bf03. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK156
linux-release-x86_64OK102
macos-release-arm64OK80
macos-oldrel-arm64OK106
windows-develOK76
windows-releaseOK71
windows-oldrelOK118
wasm-releaseOK86

Exports:alldistallvcbinomial.expanddkernexpandexpand.vcgqzposttolfindweightslogl.calc.w

Dependencies:statmod

NPML estimation for random effect models in R

Rendered fromnpmlreg-v.Rtexusingutils::Sweaveon May 13 2026.

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