SLCARE-package: SLCARE: Semiparametric Latent Class Analysis of Recurrent...
In SLCARE: Semiparametric Latent Class Analysis of Recurrent Events
SLCARE-package R Documentation
SLCARE: Semiparametric Latent Class Analysis of Recurrent Events
Description
Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/rssb.12499")}. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.
Author(s)
Maintainer: Qi Yu qi.yu2@emory.edu
Authors:
Limin Peng lpeng@emory.edu
SLCARE documentation built on June 24, 2024, 5:08 p.m.
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| SLCARE-package | R Documentation |
SLCARE: Semiparametric Latent Class Analysis of Recurrent Events
Description
Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/rssb.12499")}. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.
Author(s)
Maintainer: Qi Yu qi.yu2@emory.edu
Authors:
Limin Peng lpeng@emory.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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