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rollmatch (version 2.0.3)

Rolling Entry Matching

Description

Functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman et al. (2018) .

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Install

install.packages('rollmatch')

Monthly Downloads

185

Version

2.0.3

License

MIT + file LICENSE

Issues

3

Pull Requests

2

Stars

9

Forks

3

Maintainer

Rob Chew

Last Published

February 12th, 2024

Functions in rollmatch (2.0.3)

compare_pool

Create a dataframe of comparisons between all treatment and control data.
rollmatch

Rolling entry matching
reduce_data

Preprocessing Step to Rolling Entry Matching
score_data

Create propensity scores using a logistic or probit regression model
make_output

Combine the results of rollmatch into a tidy list for output
run_checks_two

Run checks on variable inputs
add_matches_columns

Create Additional Columns for the Matches Dataset
rem_synthdata_small

Synthetic dataset to illustrate rolling entry (small)
add_balance_table

Add the balancing table to the final output
trim_pool

Use a caliper to trim the data to only observations within threshold
check_lookback

Run checks on variable lookback
create_matches

Algorithm to find best matches from the comparison pool
run_checks_one

Run checks on variable inputs
rem_synthdata

Synthetic dataset to illustrate rolling entry