estimatr - Fast Estimators for Design-Based Inference
Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Last updated 10 days ago
cpp
11.53 score 131 stars 11 dependents 1.7k scripts 11k downloadsrandomizr - Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
Generates random assignments for common experimental designs and random samples for common sampling designs.
Last updated 10 days ago
9.87 score 37 stars 13 dependents 396 scripts 3.2k downloadsDeclareDesign - Declare and Diagnose Research Designs
Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Last updated 10 days ago
designresearchsimulations
8.45 score 101 stars 1 dependents 398 scripts 1.4k downloadsfabricatr - Imagine Your Data Before You Collect It
Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
Last updated 10 days ago
8.21 score 93 stars 5 dependents 234 scripts 1.4k downloadsDesignLibrary - Library of Research Designs
A simple interface to build designs using the package 'DeclareDesign'. In one line of code, users can specify the parameters of individual designs and diagnose their properties. The designers can also be used to compare performance of a given design across a range of combinations of parameters, such as effect size, sample size, and assignment probabilities.
Last updated 10 days ago
6.29 score 30 stars 144 scripts 521 downloads