Пакет: r-cran-ordinal (2019.12-10-1 и другие)

[ Источник: r-cran-ordinal  ]

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.

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Архитектура	Версия	Размер пакета	В установленном виде	Файлы
amd64	2019.12-10-1+b1	1 198,6 Кб	1 453,0 Кб	[список файлов]