Package: iGasso 1.6.2

Kai Wang

iGasso: Statistical Tests and Utilities for Genetic Association

A collection of statistical tests for genetic association studies and summary data based Mendelian randomization.

Authors:Dr. Kai Wang [aut], Kai Wang [cre]

# Install 'iGasso' in R:

install.packages('iGasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:43695c1924. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	154
source / vignettes	OK	227
linux-release-x86_64	OK	153
wasm-release	OK	125

Help page	Topics
Statistical Tests and utilities for Genetic Association	iGasso-package iGasso
Effect of Body Mass Index (BMI) on Coronary Artery Disease (CAD)	bmi.cad
Genome-wide Plot of a Variable	genome.plot
An exact method for SNP-heritability estimation using GWAS summary statistics	h2_snp
Conditional Inference for the Kernel Association Test (KAT)	KAT_coin
Modified Bland-Altman plot for checking genetic homogeneity between two samples	mBAplot
Model-free Association Tests	MFree.test
Test of Heterogeneity in MR using Principal Components	MR_het_test
A Gene- or Pathway-Based Test of Association 'SKATlus' provides enhanced power over SKAT by properly estimating the null distribution of SKAT.	SKATplus
Interval Estimates for Summary Data Mendelian Randomization Analysis in the Presence of Winner's Curse	SMR_interval
An Accurate Normalization Method for High Throughput Sequencing Data	tarq
Two-stage least squares estimator for two-sample summary statistics MR	tssmr
Association Tests for Rare Variants Based on Variance-Stabilizing Transformation	VSTF.test
V-V plot for checking genetic homogeneity between two samples	vvplot