Title: Non-Local Prior Based Iterative Variable Selection Tool for
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nilotpal.sanyal@gmail.com", comment = c(ORCID = "0000-0003-4814-7602")))
Description: Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data, combining in an iterative framework, the computational efficiency of the screen-and-select variable selection approach based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors as described in Sanyal et al. (2019) <DOI:10.1093/bioinformatics/bty472>.
Imports: Rcpp (>= 1.0.9), RcppArmadillo, horseshoe
Author: Nilotpal Sanyal [aut, cre] (<https://orcid.org/0000-0003-4814-7602>)

Description: Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 <DOI:10.1093/bioinformatics/bty472>).
Imports: Rcpp (>= 1.0.9), RcppArmadillo, fastglm, horseshoe, survival

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Imports: ini (>= 0.3), futile.logger (>= 1.4), data.table (>= 1.10),
1.1), rmarkdown (>= 0.9), gridExtra, grid, RSQLite, kableExtra
Suggests: xlsx (>= 0.5), parallel (>= 3.0)
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.

person(given = "Alireza", family = "Ani", role = c("aut", "cre"), email = "a.ani@umcg.nl"),
person(given = "Peter J.", family = "van der Most", role = "aut"),
person(given = "Ahmad", family = "Vaez", role = "aut"),
person(given = "Ilja M.", family = "Nolte", role = "aut"))
Imports: ini (>= 0.3), futile.logger (>= 1.4), data.table (>= 1.12),