Title: Mposterior: R package for Robust and Scalable Bayes via a Median
Description: Mposterior package provides a general framework for estimating a
median of subset posterior measures (M-posterior). Each subset posterior measure
is represented as a matrix of posterior samples; rows represent the atoms and
columns index the dimensions. All subset measures are represented as list of
matrices; length of the list equals the number of subsets (or machines). The
distance between subset posterior measures and M-posterior is measured using the RBF kernel.
M-posterior is represented as a weighted combination of empirical measures based on
subsets measures. These weights are estimated using Weiszfeld algorithm implemented
LinkingTo: Rcpp, RcppArmadillo (>= 0.3.4.4)

Title: M-Quantile Regression Coefficients Modeling
Description: Parametric modeling of M-quantile regression coefficient functions.

Packaged: 2020-02-26 18:29:07 UTC; Paolo Frumento

Packaged: 2021-02-01 12:32:17 UTC; Paolo Frumento

Title: Multiple Responses Subgroup Identification using 'GUIDE'
Authors@R: c(person(given ="Peigen", family = "Zhou", role = c("aut", "cre"), email = "pzhou9@wisc.edu", comment = c(ORCID = "0000-0003-4609-0374")),
person(given = "Wei-Yin", family = "Loh", role = c("aut"), email= "loh@stat.wisc.edu", comment = c(ORCID = "0000-0001-6983-2495")))
Description: An R implementation of 'GUIDE' style algorithm focusing on subgroup identification problem
under multiple responses of Loh et al. (2019) <doi:10.1002/widm.1326>. This package is intended for use
for randomized trials and observational studies.
Suggests: knitr, rmarkdown, visNetwork, ggplot2
Author: Peigen Zhou [aut, cre] (<https://orcid.org/0000-0003-4609-0374>),

Title: Visualizes the scoring and binning of microsatellite fragment
Description: The package contains functions to: 1) load ah files from
Strand software and build a R data base; 2) plot different
graphical displays of the fragment sizes obtained for each
locus and their bins; 3) interact with graphs to sort the data
base for a given locus and range, allowing to easily trace back
a particular group of samples to its original Strand file; bin
fragment size data into population genetics files.