Quick info
Christopher Gandrud has worked on 17 packages so far. In total, Christopher Gandrud has worked with 41 other authors on those packages. Impressive teamwork!
Packages overview
Package details
DataCombine | Tools for Easily Combining and Cleaning Data Sets |
WhatIf | Software for Evaluating Counterfactuals Heather Stoll , Gary King , Langche Zeng , Christopher Gandrud , Ben Sabath |
coreSim | Core Functionality for Simulating Quantities of Interest from Generalised Linear Models |
d3Network | Tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs from R |
dpmr | Data Package Manager for R Christopher Gandrud , Yann-Ael Le Borgne |
dynsim | Dynamic Simulations of Autoregressive Relationships Christopher Gandrud , Laron K. Williams , Guy D. Whitten |
highr | Syntax Highlighting for R Source Code Yihui Xie , Yixuan Qiu , Christopher Gandrud , Qiang Li |
mcreplicate | Multi-Core Replicate Christopher Gandrud , Olivier Binette , AUTUMN41 |
networkD3 | D3 JavaScript Network Graphs from R J.J. Allaire , Peter Ellis , Christopher Gandrud , Kevin Kuo , B.W. Lewis , Jonathan Owen , Kenton Russell , Jennifer Rogers , Charles Sese , CJ Yetman |
plotMElm | Plot Marginal Effects from Linear Models |
pltesim | Simulate Probabilistic Long-Term Effects in Models with Temporal Dependence Christopher Gandrud , Laron K. Williams |
psData | Download Regularly Maintained Political Science Data Sets |
repmis | Miscellaneous Tools for Reproducible Research |
rio | A Swiss-Army Knife for Data I/O Jason Becker , Chung-hong Chan , David Schoch , Geoffrey CH Chan , Thomas J. Leeper , Christopher Gandrud , Andrew MacDonald , Ista Zahn , Stanislaus Stadlmann , Ruaridh Williamson , Patrick Kennedy , Ryan Price , Trevor L Davis , Nathan Day , Bill Denney , Alex Bokov |
scqe | Stability Controlled Quasi-Experimentation Kirsten Landsiedel , Hazlett Chad , Wulf Ami , ctr , Pinkelman Colleen , ctr , Christopher Gandrud , ctr |
simPH | Simulate and Plot Estimates from Cox Proportional Hazards Models |
simpleSetup | Set Up R Source Code Files for Use on Multiple Machines |