# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mr.pivw" in publications use:' type: software license: GPL-2.0-only title: 'mr.pivw: Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization' version: 0.1.3 doi: 10.32614/CRAN.package.mr.pivw abstract: The penalized inverse-variance weighted (pIVW) estimator is a Mendelian randomization method for estimating the causal effect of an exposure variable on an outcome of interest based on summary-level GWAS data. The pIVW estimator accounts for weak instruments and balanced horizontal pleiotropy simultaneously. See Xu S., Wang P., Fung W.K. and Liu Z. (2022) . authors: - family-names: Xu given-names: Siqi email: sqxu@hku.hk repository: https://mrcieu.r-universe.dev commit: f28004ad6a3d90c0272571d69282d5f85419ae72 contact: - family-names: Xu given-names: Siqi email: sqxu@hku.hk