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DesignLibrary (version 0.1.2)

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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Install

install.packages('DesignLibrary')

Monthly Downloads

691

Version

0.1.2

License

MIT + file LICENSE

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Maintainer

Jasper Cooper

Last Published

November 12th, 2018

Functions in DesignLibrary (0.1.2)

match.call.defaults

Argument matching with defaults
DesignLibrary

DesignLibrary: A package for creating designs
binary_iv_designer

Create a binary instrumental variables design
two_arm_designer

Create a one-level two-arm design
two_by_two_designer

Create a two-by-two factorial design
clean_code

Clean code for method substitute
regression_discontinuity_designer

Create a regression discontinuity design
return_args

Generates character string for non-fixed arguments in a designer using substitution approach.
factorial_designer

Create a factorial design
get_design_code

Get the code from a design
cluster_sampling_designer

Create a design for cluster random sampling
construct_design_code

Generates clean code string that reproduces design
process_tracing_designer

Create a process-tracing design
randomized_response_designer

Create a randomized response design
multi_arm_designer

Create a design with multiple experimental arms
pretest_posttest_designer

Create a pretest-posttest design
mediation_analysis_designer

Create a design for mediation analysis
spillover_designer

Create a design with spillovers
two_arm_attrition_designer

Create design with risk of attrition or post treatment conditioning
block_cluster_two_arm_designer

Create a two-arm design with blocks and clusters