Installation
About
Provides functions to estimate mixed probit models using, for instance, pedigree data like in doi:10.1002/sim.1603. The models are also commonly called liability threshold models. The approximation is based on direct log marginal likelihood approximations like the randomized Quasi-Monte Carlo suggested by doi:10.1198/106186002394 with a similar procedure to approximate the derivatives. The minimax tilting method suggested by doi:10.1111/rssb.12162 is also supported. Graph-based methods are also provided that can be used to simplify pedigrees.
github.com/boennecd/pedmod | |
System requirements | C++17 |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 0 |
Last 7 days | 12 -71% |
Last 30 days | 72 +16% |
Last 90 days | 205 -66% |
Last 365 days | 2.240 -21% |
Maintainer
Maintainer | Benjamin Christoffersen |