pecotmr/DESCRIPTION at main · StatFunGen/pecotmr · GitHub

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Encoding: UTF-8
Type: Package
Package: pecotmr
Version: 0.5.0
Date: 2026-02-28
Title: Post-GWAS enrichment, colocalization, TWAS and Mendelian Randomization to integrate molecular QTL and GWAS.
Description: The majority of the statistical models in pecotmr are based on fine-mapped single effects described in Wang G et al (2020) JRSS-B. It also incorporates wrappers to a series of useful TWAS methods as well as utility functions for QTL and GWAS integration.
URL: https://statfungen.github.io/pecotmr, https://github.com/StatFunGen/pecotmr
BugReports: https://github.com/StatFunGen/pecotmr/issues
Authors@R: c(person("Gao Wang",role = c("cre","aut"),
                  email = "wang.gaow@columbia.edu"),
                  person("Daniel Nachun", role = "aut",
                  email = "dnachun@stanford.edu"),
                  person("StatFunGen Lab", role = "ctb"))
License: MIT + file LICENSE
Imports:
    IRanges,
    Rcpp,
    S4Vectors,
    bigsnpr,
    bigstatsr,
    coloc,
    doFuture,
    dplyr,
    furrr,
    future,
    magrittr,
    matrixStats,
    purrr,
    readr,
    rlang,
    stringr,
    susieR,
    tibble,
    tidyr,
    vctrs,
    vroom
Suggests:
    coda,
    colocboost,
    GBJ,
    Rfast,
    flashier,
    fsusieR,
    glmnet,
    harmonicmeanp,
    knitr,
    mashr,
    mr.mashr,
    mvsusieR,
    pgenlibr,
    qgg,
    quadprog,
    quantreg,
    udr,
    XICOR,
    qvalue,
    rmarkdown,
    snpStats,
    testthat
Remotes:
    stephenslab/fsusieR,
    stephenslab/mvsusieR,
    stephenslab/susieR,
    stephenslab/udr
LinkingTo:
    Rcpp,
    RcppArmadillo
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 7.3.3