Package: MatchLinReg 0.8.1

MatchLinReg: Combining Matching and Linear Regression for Causal Inference

Core functions as well as diagnostic and calibration tools for combining matching and linear regression for causal inference in observational studies.

Authors:Alireza S. Mahani, Mansour T.A. Sharabiani

MatchLinReg_0.8.1.tar.gz
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MatchLinReg.pdf |MatchLinReg.html✨
MatchLinReg/json (API)

# Install 'MatchLinReg' in R:

install.packages('MatchLinReg', repos = c('https://asmahani.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

lalonde - Lalonde's National Supported Work Demonstration data
lindner - Lindner Center data on 996 PCI patients analyzed by Kereiakes et al.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 193 downloads 1 mentions 10 exports 66 dependencies

Last updated 3 years agofrom:674dd50d30. Checks:8 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 26 2025
R-4.5-win	OK	Feb 26 2025
R-4.5-mac	OK	Feb 26 2025
R-4.5-linux	OK	Feb 26 2025
R-4.4-win	OK	Feb 26 2025
R-4.4-mac	OK	Feb 26 2025
R-4.3-win	OK	Feb 26 2025
R-4.3-mac	OK	Feb 26 2025

Exports:mlr mlr.bias mlr.bias.constructor mlr.combine.bias.variance mlr.generate.Z.o mlr.match mlr.orthogonalize mlr.power mlr.smd mlr.variance

Dependencies:backports base64enc bslib cachem checkmate cli cluster colorspace data.table digest evaluate fansi farver fastmap fontawesome foreign Formula fs ggplot2 glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matching Matrix memoise mgcv mime munsell nlme nnet pillar pkgconfig R6 rappdirs RColorBrewer rlang rmarkdown rpart rstudioapi sass scales stringi stringr tibble tinytex utf8 vctrs viridis viridisLite withr xfun yaml

Matching and Linear Regression

Rendered fromMatchLinReg.pdf.asisusingR.rsp::asison Feb 26 2025.

Last update: 2022-08-30
Started: 2022-08-30

Citation

Readme and manuals

Help Manual

Help page	Topics
Lalonde's National Supported Work Demonstration data	lalonde
Lindner Center data on 996 PCI patients analyzed by Kereiakes et al. (2000)	lindner
Creating a series of matched data sets with different calibration parameters	mlr
Treatment effect bias	mlr.bias
Generating the treatment effect bias constructor vector	mlr.bias.constructor
Combining bias and variance to produce total MSE for treatment effect	mlr.combine.bias.variance
Generating omitted covariates from included covariates	mlr.generate.Z.o
Thin wrapper around 'Match' function from 'Matching' package	mlr.match
Orthogonalization of vectors with repsect to a matrix	mlr.orthogonalize
Power analysis for causal inference using linear regression	mlr.power
Standardized mean difference	mlr.smd
Treatment effect variance	mlr.variance
Plotting diagnostic and calibration objects resulting from call to 'summary.mlr'	plot.summary.mlr
Applying diagnostic and calibration functions to mlr objects	summary.mlr