Michael Guggisberg's repositories
BiProbitPartial
A suite of functions to estimate, summarize and perform predictions with the bivariate probit subject to partial observability. The frequentist and Bayesian probabilistic philosophies are both supported. The frequentist method is estimated with maximum likelihood and the Bayesian method is estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by Rajbanhdari, A (2014) <doi:10.1002/9781118771051.ch13>.
BiProbitPartial-1
:exclamation: This is a read-only mirror of the CRAN R package repository. BiProbitPartial — Bivariate Probit with Partial Observability
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lifelines
Survival analysis in Python
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