Description: Functions for Maximum Likelihood (ML) estimation, non-linear
the Maximum Likelihood viewpoint.  It also includes a number of convenience tools for testing

Suggests: testthat, MASS, clue, dlm, plot3D

Authors@R: c(person("Ott", "Toomet", role=c("aut", "cre"), email="otoomet@gmail.com"),
Suggests: MASS, clue, dlm, plot3D, tibble, tinytest
the Maximum Likelihood viewpoint.  It also includes a number of convenience
tools for testing and developing your own models.

Title: Conditional Samplings for Max-Linear Models
Description: Computational tools for conditional samplings from

Title: Maximizing the TPR for a Specified FPR
Description: Estimates a linear combination of predictors by maximizing a smooth approximation to the estimated true positive rate (TPR; sensitivity) while constraining a smooth approximation to the estimated false positive rate (FPR; 1-specificity) at a user-specified level.

Description: Fits a linear combination of predictors by maximizing a smooth approximation to the estimated covariate-adjusted area under the receiver operating characteristic curve (AUC) for a discrete covariate. (Meisner, A, Parikh, CR, and Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper421/>.)

Title: The Group Sequential Max-Combo Test for Comparing Survival
Description: Functions for comparing survival curves using the max-combo test at a single timepoint or repeatedly at successive respective timepoints while controlling type I error (i.e., the group sequential setting), as published by Prior (2020) <doi:10.1177/0962280220931560>.  The max-combo test is a generalization of the weighted log-rank test, which itself is a generalization of the log-rank test, which is a commonly used statistical test for comparing survival curves, e.g., during or after a clinical trial as part of an effort to determine if a new drug or therapy is more effective at delaying undesirable outcomes than an established drug or therapy or a placebo.
Imports: magrittr, purrr, rlang, mstate, MCMCpack, dplyr, mvtnorm,