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 = '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.

2.78 score 1 packages 404 downloads 2 mentions 10 exports 1 dependencies

Last updated 7 years agofrom:e8d3b0bf03. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-linuxOKMar 26 2025

Exports:alldistallvcbinomial.expanddkernexpandexpand.vcgqzposttolfindweightslogl.calc.w

Dependencies:statmod

NPML estimation for random effect models in R

Rendered fromnpmlreg-v.Rtexusingutils::Sweaveon Mar 26 2025.

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

Citation

To cite package ‘npmlreg’ in publications use:

Einbeck J, Darnell R, Hinde J (2018). npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models. R package version 0.46-5, https://CRAN.R-project.org/package=npmlreg.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {npmlreg: Nonparametric Maximum Likelihood Estimation for
      Random Effect Models},
    author = {Jochen Einbeck and Ross Darnell and John Hinde},
    year = {2018},
    note = {R package version 0.46-5},
    url = {https://CRAN.R-project.org/package=npmlreg},
  }