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depscope/conda/r-mets

r-mets

condav1.3.9

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).

License GPL-2.0-or-later11 versions1 maintainers0 deps281 weekly dl
57
/ 100
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safe to use

[email protected] is safe to use (health: 57/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2020-12-09 11:39:39.049000+00:00

Last updated · 2026-01-11 19:44:02.098000+00:00

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