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Paket: r-cran-ordinal (2019.12-10-1build1)

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.

Andere Pakete mit Bezug zu r-cran-ordinal

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  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    auch ein virtuelles Paket, bereitgestellt durch libc6-udeb
  • dep: r-api-4.0
    virtuelles Paket, bereitgestellt durch r-base-core
  • dep: r-base-core (>= 4.0.0.20200528-1)
    GNU R core of statistical computation and graphics system
  • 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-numderiv
    GNU R package for accurate numerical derivatives
  • dep: r-cran-ucminf
    GNU R general-purpose unconstrained non-linear optimization
  • sug: r-cran-lme4
    GNU R package for linear mixed effects model fitting
  • sug: r-cran-nnet
    GNU R package for feed-forward neural networks
  • sug: r-cran-xtable
    GNU R coerce data to LaTeX and HTML tables

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