RSNPset is an implementation of the use of efficient score statistics
in genome-wide SNP set analysis with complex traits. The package provides three standard
score statistics (Cox, binomial, and Gaussian) but is easily extensible to include
others. Code implementing the inferential procedure is primarily written in C++ and
utilizes parallelization of the analysis to reduce runtime. A supporting function offers
simple computation of observed, permutation, and FWER and FDR adjusted p-values.

Efficient Score Statistics for Genome-Wide SNP Set Analysis
An implementation of the use of efficient score statistics
in genome-wide SNP set analysis with complex traits. Three standard score statistics
(Cox, binomial, and Gaussian) are provided, but the package is easily extensible to
include others. Code implementing the inferential procedure is primarily written in C++ and
utilizes parallelization of the analysis to reduce runtime. A supporting function offers
simple computation of observed, permutation, and FWER and FDR adjusted p-values.

Milan Bimali, Joseph Usset, Brooke L. Fridley
Provides functions for estimating power or sample size for RNA-Seq studies. Empirical approach is used and the data is assumed to be count in nature. The underlying distribution of data is assumed to be Poisson or negative binomial. The package contains 6 function; 4 functions provide estimates of sample size or power for Poisson and Negative Binomial distribution; 2 functions provide plots of power for given sample size or sample size for given power.

Database Agnostic Package to Generate and Process 'SQL' Queries
in R
c(
person("Alejandro", "Baranek",,"abaranek@dc.uba.ar", c("cre", "aut")),
person("Leonardo","Belen",,"leobelen@gmail.com", c("aut")))
Allows the user to generate and execute select, insert, update and delete 'SQL' queries the underlying database without having to explicitly write 'SQL' code.
Alejandro Baranek [cre, aut],
Leonardo Belen [aut]

rmarkdown, dplyr, testthat, covr, lintr, pkgdown