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Pakiet: r-cran-ordinal (2019.12-10-1)

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.

Inne pakiety związane z r-cran-ordinal

  • wymaga
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  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    również pakiet wirtualny udostępniany przez libc6-udeb
  • dep: r-api-3.5
    pakiet wirtualny udostępniany przez r-base-core
  • dep: r-base-core (>= 3.6.2-2)
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  • dep: r-cran-matrix
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  • dep: r-cran-numderiv
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  • dep: r-cran-ucminf
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  • sug: r-cran-lme4
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  • sug: r-cran-nnet
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  • sug: r-cran-xtable
    GNU R coerce data to LaTeX and HTML tables

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