套件：r-cran-ordinal（2023.12-4.1-1） [debports]
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.
其他與 r-cran-ordinal 有關的套件
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- dep: libc6 (>= 2.4)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-nlme
- GNU R package for (non-)linear mixed effects models
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- dep: r-cran-numderiv
- GNU R package for accurate numerical derivatives
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- dep: r-cran-ucminf
- GNU R general-purpose unconstrained non-linear optimization
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- rec: r-cran-lme4
- GNU R package for linear mixed effects model fitting
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- rec: r-cran-nnet
- GNU R package for feed-forward neural networks
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- rec: r-cran-testthat (>= 0.8)
- GNU R testsuite
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- rec: r-cran-xtable
- GNU R coerce data to LaTeX and HTML tables