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[ 原始碼: r-cran-ordinal  ]

套件:r-cran-ordinal(2022.11-16-1)

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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.

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amd64 1,238。6 kB1,504。0 kB [檔案列表]
arm64 1,238。0 kB1,532。0 kB [檔案列表]
armel 1,239。0 kB1,531。0 kB [檔案列表]
armhf 1,236。7 kB1,531。0 kB [檔案列表]
i386 1,239。0 kB1,503。0 kB [檔案列表]
mips64el 1,238。0 kB1,534。0 kB [檔案列表]
mipsel 1,238。3 kB1,533。0 kB [檔案列表]
ppc64el 1,240。9 kB1,532。0 kB [檔案列表]
s390x 1,237。8 kB1,500。0 kB [檔案列表]