| robmed-package {robmed} | R Documentation |
(Robust) Mediation Analysis
Description
Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>.
Details
The DESCRIPTION file:
| Package: | robmed |
| Type: | Package |
| Title: | (Robust) Mediation Analysis |
| Version: | 1.0.2 |
| Date: | 2023-06-16 |
| Depends: | R (>= 3.5.0), ggplot2 (>= 3.3.0), robustbase (>= 0.92-7) |
| Imports: | boot (>= 1.3-20), grid, methods, quantreg (>= 5.36), sn (>= 1.5-4), utils |
| Suggests: | knitr, testthat |
| Description: | Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>. |
| License: | GPL (>= 2) |
| URL: | https://github.com/aalfons/robmed |
| BugReports: | https://github.com/aalfons/robmed/issues |
| LazyData: | yes |
| VignetteBuilder: | knitr |
| Authors@R: | c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2513-3788")), person("Nufer Y.", "Ates", role = "ctb", comment = c(ORCID = "0000-0003-4572-4101", "provided the BSG2014 data"))) |
| Author: | Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), Nufer Y. Ates [ctb] (<https://orcid.org/0000-0003-4572-4101>, provided the BSG2014 data) |
| Maintainer: | Andreas Alfons <alfons@ese.eur.nl> |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.2.3 |
Index of help topics:
BSG2014 Business simulation game data
boot_samples Draw bootstrap samples
ci_plot Dot plot with confidence intervals
coef.test_mediation Coefficients in (robust) mediation analysis
confint.test_mediation
Confidence intervals from (robust) mediation
analysis
cov_Huber Huber M-estimator of location and scatter
cov_ML Maximum likelihood estimator of mean vector and
covariance matrix
cov_control Tuning parameters for Huber M-estimation of
location and scatter
density_plot Density plot of the indirect effect(s)
ellipse_plot Diagnostic plot with a tolerance ellipse
fit_mediation (Robustly) fit a mediation model
m Create an object of hypothesized mediators or
control variables
p_value p-Values from (robust) mediation analysis
plot-methods Plot (robust) mediation analysis results
reg_control Tuning parameters for MM-regression
retest Retest for mediation
robmed-package (Robust) Mediation Analysis
setup_ci_plot Set up information for a dot plot with
confidence intervals
setup_density_plot Set up information for a density plot of the
indirect effect(s)
setup_ellipse_plot Set up a diagnostic plot with a tolerance
ellipse
setup_weight_plot Set up a diagnostic plot of robust regression
weights
sim_mediation Generate data from a fitted mediation model
summary.test_mediation
Summary of results from (robust) mediation
analysis
test_mediation (Robust) mediation analysis
weight_plot Diagnostic plot of robust regression weights
weights.cov_Huber Robustness weights of Huber M-estimation of
location and scatter
Author(s)
Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), Nufer Y. Ates [ctb] (<https://orcid.org/0000-0003-4572-4101>, provided the BSG2014 data)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
References
Alfons, A., Ates, N.Y. and Groenen, P.J.F. (2022a) A Robust Bootstrap Test for Mediation Analysis. Organizational Research Methods, 25(3), 591–617. doi:10.1177/1094428121999096.
Alfons, A., Ates, N.Y. and Groenen, P.J.F. (2022b) Robust mediation analysis: The R package robmed. Journal of Statistical Software, 103(13), 1–45. doi:10.18637/jss.v103.i13.