Implementation of Directional Metropolis Hastings Algorithm for
MCMC.

Estimate parameters in Dirichlet-Multinomial and compute
profile log-likelihoods.

Estimate parameters in Dirichlet-Multinomial and compute log-likelihoods.

Distributional Regression for Time to Event Data
Alexander Seipp [aut, cre],
Fabian Otto-Sobotka [aut]
c(person("Alexander", "Seipp", role = c("aut", "cre"), email = "alexander.seipp@uni-oldenburg.de"),
person("Fabian", "Otto-Sobotka", role = "aut", email = "fabian.otto-sobotka@uni-oldenburg.de"))
mgcv, splines, formula.tools, nloptr, survival, Matrix, MASS,
provenance, rlang
Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) "Weighted Expectile Regression for Right-Censored Data" <doi:10.1002/sim.9137>, mode regression for time-to-event variables has been introduced in Seipp et al. (2022) "Flexible Semiparametric Mode Regression for Time-to-Event Data" <doi:10.1177/09622802221122406>.

Alexander Seipp [cre],
Fabian Otto-Sobotka [aut]
c(person("Alexander", "Seipp", role ="cre", email = "alexander.seipp@uni-oldenburg.de"),
person("Fabian", "Otto-Sobotka", role = "aut", email = "fabian.otto-sobotka@uni-oldenburg.de"))
Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) "Weighted Expectile Regression for Right-Censored Data" <doi:10.1002/sim.9137>, mode regression for time-to-event variables has been introduced in Seipp et al. (2022) "Flexible Semiparametric Mode Regression for Time-to-Event Data" (accepted manuscript).