hdcuremodels - High-Dimensional Cure Models
Provides functions for fitting various penalized parametric and semi-parametric mixture cure models with different penalty functions, testing for a significant cure fraction, and testing for sufficient follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate controlled variable selection is provided using model-X knock-offs.
Last updated
4.54 score 1 stars 10 scripts 521 downloadsmixor - Mixed-Effects Ordinal Regression Analysis
Provides the function 'mixor' for fitting a mixed-effects ordinal and binary response models and associated methods for printing, summarizing, extracting estimated coefficients and variance-covariance matrix, and estimating contrasts for the fitted models.
Last updated
fortranglibc
4.26 score 36 scripts 7 downloadsglmnetcr - Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.
Last updated
3.98 score 1 dependents 32 scripts 304 downloadsglmpathcr - Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response
Provides a function for fitting a penalized constrained continuation ratio model using the glmpath algorithm and methods for extracting coefficient estimates, predicted class, class probabilities, and plots.
Last updated
3.85 score 14 scripts 300 downloadsordinalgmifs - Ordinal Regression for High-Dimensional Data
Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Last updated
3.70 score 8 scripts 175 downloadscountgmifs - Discrete Response Regression for High-Dimensional Data
Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Last updated
3.70 score 1 scripts 262 downloadsordinalbayes - Bayesian Ordinal Regression for High-Dimensional Data
Provides a function for fitting various penalized Bayesian cumulative link ordinal response models when the number of parameters exceeds the sample size. These models have been described in Zhang and Archer (2021) <doi:10.1186/s12859-021-04432-w>.
Last updated
jagscpp
3.70 score 1 stars 3 scripts 168 downloads