Paketti: r-cran-ordinal (2023.12-4.1-1) [debports]

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GNU R regression models for ordinal data

Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.

Muut pakettiin r-cran-ordinal liittyvät paketit

• dep: libc6 (>= 2.2)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: r-api-4.0

  näennäispaketti, jonka toteuttaa r-base-core

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• dep: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• dep: r-cran-ucminf

  GNU R general-purpose unconstrained non-linear optimization

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-nnet

  GNU R package for feed-forward neural networks

• rec: r-cran-testthat (>= 0.8)

  GNU R testsuite

• rec: r-cran-xtable

  GNU R coerce data to LaTeX and HTML tables

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