ham: Healthcare Analysis Methods

Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Harrell (2016, ISBN:978-3-319-19424-0), Kline (1999, ISBN:9780415211581), Linden (2015) <doi:10.1177/1536867X1501500208>, Merlo (2006) <doi:10.1136/jech.2004.029454> Muthen & Satorra (1995) <doi:10.2307/271070>, and Rabe-Hesketh & Skrondal (2008, ISBN:978-1-59718-040-5).

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	methods
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-10-28
DOI:	10.32614/CRAN.package.ham
Author:	Stephen Zuniga [aut, cre, cph]
Maintainer:	Stephen Zuniga <rms.shiny at gmail.com>
BugReports:	https://github.com/szuniga07/ham/issues
License:	MIT + file LICENSE
URL:	https://github.com/szuniga07/ham
NeedsCompilation:	no
Citation:	ham citation info
Materials:	README, NEWS
CRAN checks:	ham results

Documentation:

Downloads:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ham to link to this page.