Utility functions for mutational signature analysis
             as described in Alexandrov, L. B. (2020)
             <doi:10.1038/s41586-020-1943-3>.
             This package provides two groups of functions. One is
             for dealing with mutational signature "exposures"
             (i.e. the counts of mutations in a sample that are
             due to each mutational signature). The other group of
             functions is for matching or comparing sets of 
             mutational signatures. 'mSigTools' stands for 
             mutational Signature analysis Tools.

Micro simulation model to reproduce natural history of cervical cancer and cost-effectiveness evaluation of prevention strategies. See Georgalis L, de Sanjose S, Esnaola M, Bosch F X, Diaz M (2016) <doi:10.1097/CEJ.0000000000000202> for more details.

Incorporates a Bayesian monotonic single-index mixed-effect model with a multivariate skew-t likelihood, specifically designed to handle survey weights adjustments. Features include a simulation program and an associated Gibbs sampler for model estimation. The single-index function is constrained to be monotonic increasing, utilizing a customized Gaussian process prior for precise estimation. The model assumes random effects follow a canonical skew-t distribution, while residuals are represented by a multivariate Student-t distribution. Offers robust Bayesian adjustments to integrate survey weight information effectively.

Performs a multiscale analysis of a nonparametric
  regression or nonparametric regressions with time series errors. In case
  of one regression, with the help of this package it is possible to detect
  the regions where the trend function is increasing or decreasing.
  In case of multiple regressions, the test identifies regions where
  the trend functions are different from each other. See
  Khismatullina and Vogt (2020) <doi:10.1111/rssb.12347>,
  Khismatullina and Vogt (2022) <doi:10.48550/arXiv.2209.10841> and
  Khismatullina and Vogt (2023) <doi:10.1016/j.jeconom.2021.04.010>
  for more details on theory and applications.