Calculate Power and Sample Size with Beta Regression
c(person("Jinpu", "Li", email = "lijinp@health.missouri.edu", role = c("aut", "cre")),
person("Ryan", "Knigge", email = "rknigge@health.missouri.edu", role = "aut"),
person("Emily", "Leary", email = "LearyE@health.missouri.edu", role = "aut"))
Power calculations are a critical component of any research study to determine the
minimum sample size necessary to detect differences between multiple groups.
Researchers often work with data taking the form of proportions that can be modeled with
a beta distribution. Here we present an R package, 'BetaPASS', that perform power and
sample size calculations for data following a beta distribution with comparative
nonparametric output. This package allows flexibility with multiple options for link
functions to fit the data and graphing functionality for visual comparisons.
betareg, lmtest, reshape, ggplot2, Rcpp, stats
Jinpu Li [aut, cre],
Ryan Knigge [aut],
Emily Leary [aut]

Better Statistics for OLS and Binomial Logistic Regression
Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.

Bayesian Evaluation of Variant Involvement in Mendelian
Disorders
Bayesian inference procedures for evaluating evidence of involvement of variants in Mendelian disorders based on intuitive models of dominant and recessive inheritance.

A fast integrative genetic association test for rare diseases.

Bayesian Evaluation of Variant Involvement in Mendelian Disease

Daniel Greene, Sylvia Richardson and Ernest Turro
A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework.

A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.