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:
- Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.☆28Updated last year
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 6 years ago
- Error Handling Made Easy☆28Updated 4 months ago
- Nice distribution plots with minimum user input☆18Updated last month
- ☆15Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated this week
- ☆16Updated 2 years ago
- ☆27Updated 10 months ago
- High-dimensional fixed effect estimation with pytorch☆18Updated 4 years ago
- Convolution-type Smoothed Quantile Regression☆23Updated 2 years ago
- GVC decomposition in R☆19Updated last year
- An R package for creating Variable Documentation Files☆40Updated 8 months ago
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 5 years ago
- CRAN Task View: Causal Inference☆17Updated last year
- Data Science for Economists and Other Animals☆28Updated 4 years ago
- Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data☆14Updated 5 years ago
- R package that provides estimation methods for Gravity Models☆37Updated 9 months ago
- ddml: Double/Debiased Machine Learning in R☆20Updated last month
- Materials for intro to Bayesian models☆15Updated last year
- Install Workshop Materials for Causal Inference in R☆23Updated 3 weeks ago
- Forecast Combination in R☆29Updated 7 years ago
- Causal-inference oriented doctoral econometrics course at UO☆14Updated 3 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 8 months ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆12Updated 3 years ago
- Randomization inference tools for R☆17Updated 2 months ago
- Simple function to adjust for covariates in synthdid☆17Updated 3 years ago
- Panel Maneuvers in dplyr: An R package for cleaning and manipulating panel and hierarchical data☆35Updated 3 years ago
- Importing and Manipulating Symmetric Input-Output Tables☆22Updated this week
- Repository for reproducing results in structured priors MRP paper☆17Updated 5 years ago
- Global Value Chain tools☆22Updated 3 years ago