JedStephens / ExpertChoiceLinks
An R package to support designing efficient Discrete Choice Experiments. Experimental designs can be formed on the basis of orthogonal arrays or search methods for optimal designs (Federov or MIP programs). Various methods for converting these experimental designs into a discrete choice experiment. Many efficiency measures!
☆15Updated last year
Alternatives and similar repositories for ExpertChoice
Users that are interested in ExpertChoice are comparing it to the libraries listed below
Sorting:
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 7 years ago
- Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.☆30Updated last year
- CRAN Task View: Causal Inference☆18Updated 3 weeks ago
- GVC decomposition in R☆20Updated 2 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆13Updated 3 years ago
- Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data☆14Updated 5 years ago
- Nice distribution plots with minimum user input☆18Updated 6 months ago
- How to use EconML within R☆12Updated 6 years ago
- ☆15Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- ☆16Updated 2 years ago
- Install Workshop Materials for Causal Inference in R☆24Updated 4 months ago
- Error Handling Made Easy☆28Updated 9 months ago
- Causal-inference oriented doctoral econometrics course at UO☆14Updated 3 years ago
- Materials for intro to Bayesian models☆16Updated last year
- ☆17Updated 4 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 11 months ago
- ☆27Updated last year
- Randomization inference tools for R☆17Updated last month
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 5 years ago
- R package for microsimulation☆42Updated 2 weeks ago
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆21Updated 3 years ago
- ☆18Updated 3 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated 2 years ago
- Convolution-type Smoothed Quantile Regression☆23Updated 2 years ago
- ☆20Updated 7 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated last year
- Chapter on causal inference for *R for Political Data Science: A Practical Guide*☆42Updated 4 years ago
- Source code for EDAV Fall 2019 community contribution bookdown book:☆13Updated 4 years ago
- Out of memory data manipulation☆14Updated 2 years ago