package for the causal TWAS project

A collection of visual guides to help applied scientists learn causal inference.

tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data

R package to fit Empirical Bayes Normal Means model.

R package for "sum of single effects" regression.

Bayesian haplotype-based mutation calling

Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"

A quick analysis of all Youtube videos in a user's history.

Spherical Approximation Classifier

This project provides codes for manifold learning using spherelets (see https://arxiv.org/abs/1706.08263 )

Density estimation using Fisher-Gaussian (FG) kernel mixture approach

The tree sequence toolkit

Infer a tree sequence from genetic variation data

Common statistical tests are linear models (or: how to teach stats)

CC founder probabilities to be used with SPARCC

Simulated Power Analysis in the Realized Collaborative Cross