Package: stdmod 0.2.10.1

stdmod: Standardized Moderation Effect and Its Confidence Interval

Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.

Authors:Shu Fai Cheung [aut, cre], David Weng Ngai Vong [ctb]

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stdmod.pdf |stdmod.html✨
stdmod/json (API)
NEWS

# Install 'stdmod' in R:

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

Bug tracker:https://github.com/sfcheung/stdmod/issues

Datasets:

sleep_emo_con - Sample Dataset: Predicting Sleep Duration
test_mod1 - Sample Dataset: A Path Model With A Moderator
test_mod2 - Sample Dataset: A Path Model With A Moderator
test_mod3_miss - Sample Dataset: A Path Model With A Moderator
test_x_1_w_1_v_1_cat1_n_500 - Sample Dataset: One IV, One Moderator, Two Covariates
test_x_1_w_1_v_1_cat1_xw_cov_n_500 - Sample Dataset: One IV, One Moderator, Two Covariates
test_x_1_w_1_v_1_cat1_xw_cov_wcat3_n_500 - Sample Dataset: One IV, One 3-Category Moderator, Two Covariates
test_x_1_w_1_v_2_n_500 - Sample Dataset: One IV, One Moderator, Two Covariates

On CRAN:

bootstrapping confidence-interval effect-sizes moderation regression standardization standardized-moderation

8 exports 1.20 score 38 dependencies 84 scripts 395 downloads

Last updated 6 months agofrom:12b646cc0b. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 23 2024
R-4.5-win	NOTE	Aug 23 2024
R-4.5-linux	NOTE	Aug 23 2024
R-4.4-win	OK	Aug 23 2024
R-4.4-mac	OK	Aug 23 2024
R-4.3-win	OK	Aug 23 2024
R-4.3-mac	OK	Aug 23 2024

Exports:cond_effect cond_effect_boot plotmod std_selected std_selected_boot stdmod stdmod_boot stdmod_lavaan

Dependencies:boot cli colorspace cpp11 fansi farver ggplot2 glue gtable igraph isoband labeling lattice lavaan lifecycle magrittr manymome MASS Matrix mgcv mnormt munsell nlme numDeriv pbapply pbivnorm pillar pkgconfig quadprog R6 RColorBrewer rlang scales tibble utf8 vctrs viridisLite withr

A Quick Start Guide on Using std_selected()

Shu Fai Cheung

Rendered fromstdmod.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-03-26
Started: 2022-04-13

Conditional Effects by cond_effect()

Shu Fai Cheung

Rendered fromcond_effect.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-09-09
Started: 2022-05-05

Mean Center and Standardize Selected Variable by std_selected()

Shu Fai Cheung and David Weng Ngai Vong

Rendered fromstd_selected.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-03-26
Started: 2022-05-05

Moderation Effects Plots by plotmod()

Shu Fai Cheung

Rendered fromplotmod.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-03-26
Started: 2022-05-05

Standardized Moderation Effect by std_selected()

Shu Fai Cheung and David Weng Ngai Vong

Rendered frommoderation.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-03-26
Started: 2022-05-05

Standardized Moderation Effect in a Path Model by stdmod_lavaan()

Shu Fai Cheung and David Weng Ngai Vong

Rendered fromstdmod_lavaan.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-06-24
Started: 2022-05-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'add1' Method for a 'std_selected' Class Object	add1.std_selected
Conditional Effect in a 'cond_effect'-Class Object	coef.cond_effect
Standardized Moderation Effect in a 'stdmod_lavaan' Class Object	coef.stdmod_lavaan
Conditional Effects	cond_effect cond_effect_boot
Confidence Intervals for a 'cond_effect' Class Object	confint.cond_effect
Confidence Intervals for a 'std_selected' Class Object	confint.std_selected
Confidence Intervals for a 'stdmod_lavaan' Class Object	confint.stdmod_lavaan
Moderation Effect Plot	plotmod
Print a 'cond_effect' Class Object	print.cond_effect
Print Basic Information of a 'std_selected' Class Object	print.std_selected
Print a 'stdmod_lavaan' Class Object	print.stdmod_lavaan
Print the Summary of a 'std_selected' Class Object	print.summary.std_selected
Sample Dataset: Predicting Sleep Duration	sleep_emo_con
Standardize Variables in a Regression Model	std_selected std_selected_boot
Standardized Moderation Effect Given an 'lm' Output	stdmod stdmod_boot
Standardized Moderation Effect and Its Bootstrap CI in 'lavaan'	stdmod_lavaan
Summary Method for a 'std_selected' Class Object	summary.std_selected
Sample Dataset: A Path Model With A Moderator	test_mod1
Sample Dataset: A Path Model With A Moderator	test_mod2
Sample Dataset: A Path Model With A Moderator	test_mod3_miss
Sample Dataset: One IV, One Moderator, Two Covariates	test_x_1_w_1_v_1_cat1_n_500
Sample Dataset: One IV, One Moderator, Two Covariates	test_x_1_w_1_v_1_cat1_xw_cov_n_500
Sample Dataset: One IV, One 3-Category Moderator, Two Covariates	test_x_1_w_1_v_1_cat1_xw_cov_wcat3_n_500
Sample Dataset: One IV, One Moderator, Two Covariates	test_x_1_w_1_v_2_n_500
The 'update' Method for a 'std_selected' Class Object	update.std_selected
The 'vcov' Method for a 'std_selected' Class Object	vcov.std_selected

Package: stdmod 0.2.10.1

stdmod: Standardized Moderation Effect and Its Confidence Interval

A Quick Start Guide on Using std_selected()

Conditional Effects by cond_effect()

Mean Center and Standardize Selected Variable by std_selected()

Moderation Effects Plots by plotmod()

Standardized Moderation Effect by std_selected()

Standardized Moderation Effect in a Path Model by stdmod_lavaan()

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)