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DesignLibrary (version 0.1.0)

Library of Research Designs

Description

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.

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Version

Install

install.packages('DesignLibrary')

Monthly Downloads

691

Version

0.1.0

License

MIT + file LICENSE

Issues

24

Pull Requests

2

Stars

30

Forks

3

Maintainer

Jasper Cooper

Last Published

August 9th, 2018

Functions in DesignLibrary (0.1.0)

randomized_response_designer

Create a randomized response design
regression_discontinuity_designer

Create a regression discontinuity design
simple_factorial_designer

Create a simple factorial design
two_arm_attrition_designer

Create design with risk of attrition or post treatment conditioning
mediation_analysis_designer

Create a design for mediation analysis
multi_arm_designer

Create a design with multiple experimental arms
simple_spillover_designer

Create a simple design with spillovers
simple_two_arm_designer

Create a simple two arm design
block_cluster_two_arm_designer

Create a two-arm design with blocks and clusters
cluster_sampling_designer

Create a design for cluster random sampling
pretest_posttest_designer

Create a pretest-posttest design
get_design_code

Get the code from a design
match.call.defaults

Argument matching with defaults