Pinned Repositories
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
CausalImpact
An R package for causal inference in time series
cjpowR
A Priori Power Analyses for Conjoint Experiments
cjpowR_shiny
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
intro-r-polsci
lys
A simple rmarkdown/beamer template
now-ui-kit-master
power_app
R2021_materials
m-freitag's Repositories
m-freitag/cjpowR
A Priori Power Analyses for Conjoint Experiments
m-freitag/R2021_materials
m-freitag/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
m-freitag/CausalImpact
An R package for causal inference in time series
m-freitag/cjpowR_shiny
m-freitag/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
m-freitag/intro-r-polsci
m-freitag/lys
A simple rmarkdown/beamer template
m-freitag/now-ui-kit-master
m-freitag/power_app
m-freitag/sensemakr
Suite of sensitivity analysis tools for OLS
m-freitag/Slides_EPSA
m-freitag/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
m-freitag/Syllabus_R2021
m-freitag/tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
m-freitag/website-academic