guhjy's repositories

guhjy

Dr. Jinn-Yuh Guh's personal website

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causalml

Uplift modeling and causal inference with machine learning algorithms

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travis-exitwp

Upload your WordPress XML to this repo, and download Markdown posts in a minute

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auto-unlocker

Unlocker for VMWare macOS

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pandoc-opml

Generate OPML files from Markdown

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rms-1

This has a shiny app that implements the rms package.

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dataviz-book

"Data Visualization: charts, maps and interactive graphics" (the making of)

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ProSGPV

Penalized Regression with Second-Generation P-Values

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modelsummary

Beautiful and customizable model summaries in R.

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dlookr

Tools for Data Diagnosis, Exploration, Transformation

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ROS-Examples

Regression and other stories R examples

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errors

Uncertainty Propagation for R Vectors

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compareGroups

R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.

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targets

Function-oriented Make-like declarative workflows for R

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treat

A template for reproducible empirical accounting research - fork me!

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tjmahr.github.io

A responsive Jekyll theme with clean typography and support for large full page images.

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rcompendium

:package: Create a Package or Research Compendium Structure

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miselect

Variable Selection for Multiply Imputed Data

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mrsensemakr

Sensitivity Analysis Tools for Mendelian Randomization

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regplane3D

Package for plotting threedimensional regression predictions with confidence intervals

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ggx

ggx

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causalDML

Implementation of Double Machine Learning

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simulation-study-example

Example code in R and Stata to run, analyse, and visualise a Monte Carlo simulation study.

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FDRnet

A method for identifying significantly mutated subnetworks in human diseases

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bama

High Dimensional Bayesian Mediation Analysis

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ingredients

Model ingredients - model level feature effects and feature importance

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Rmimic

An R package that mimic outputs of popular commercial statistics software packages with effect sizes and confidence intervals.

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brolgar

BRowse Over Longitudinal Data Graphically and Analytically in R

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