robmed-package |
(Robust) Mediation Analysis |
autoplot.fit_mediation |
Plot (robust) mediation analysis results |
autoplot.test_mediation |
Plot (robust) mediation analysis results |
boot_samples |
Draw bootstrap samples |
BSG2014 |
Business simulation game data |
ci_plot |
Dot plot with confidence intervals |
ci_plot.boot_test_mediation |
Dot plot with confidence intervals |
ci_plot.default |
Dot plot with confidence intervals |
ci_plot.list |
Dot plot with confidence intervals |
ci_plot.setup_ci_plot |
Dot plot with confidence intervals |
ci_plot.sobel_test_mediation |
Dot plot with confidence intervals |
coef.boot_test_mediation |
Coefficients in (robust) mediation analysis |
coef.fit_mediation |
Coefficients in (robust) mediation analysis |
coef.test_mediation |
Coefficients in (robust) mediation analysis |
confint.boot_test_mediation |
Confidence intervals from (robust) mediation analysis |
confint.sobel_test_mediation |
Confidence intervals from (robust) mediation analysis |
confint.test_mediation |
Confidence intervals from (robust) mediation analysis |
covariates |
Create an object of hypothesized mediators or control variables |
cov_control |
Tuning parameters for Huber M-estimation of location and scatter |
cov_Huber |
Huber M-estimator of location and scatter |
cov_ML |
Maximum likelihood estimator of mean vector and covariance matrix |
density_plot |
Density plot of the indirect effect(s) |
density_plot.default |
Density plot of the indirect effect(s) |
density_plot.list |
Density plot of the indirect effect(s) |
density_plot.setup_density_plot |
Density plot of the indirect effect(s) |
density_plot.sobel_test_mediation |
Density plot of the indirect effect(s) |
ellipse_plot |
Diagnostic plot with a tolerance ellipse |
ellipse_plot.default |
Diagnostic plot with a tolerance ellipse |
ellipse_plot.setup_ellipse_plot |
Diagnostic plot with a tolerance ellipse |
fit_mediation |
(Robustly) fit a mediation model |
fit_mediation.default |
(Robustly) fit a mediation model |
fit_mediation.formula |
(Robustly) fit a mediation model |
m |
Create an object of hypothesized mediators or control variables |
parallel_m |
Create an object of hypothesized mediators or control variables |
plot-methods |
Plot (robust) mediation analysis results |
plot.fit_mediation |
Plot (robust) mediation analysis results |
plot.test_mediation |
Plot (robust) mediation analysis results |
print.boot_test_mediation |
(Robust) mediation analysis |
print.cov_Huber |
Huber M-estimator of location and scatter |
print.cov_ML |
Maximum likelihood estimator of mean vector and covariance matrix |
print.fit_mediation |
(Robustly) fit a mediation model |
print.sobel_test_mediation |
(Robust) mediation analysis |
p_value |
p-Values from (robust) mediation analysis |
p_value.boot_test_mediation |
p-Values from (robust) mediation analysis |
p_value.sobel_test_mediation |
p-Values from (robust) mediation analysis |
reg_control |
Tuning parameters for MM-regression |
retest |
Retest for mediation |
retest.boot_test_mediation |
Retest for mediation |
retest.sobel_test_mediation |
Retest for mediation |
rmediation |
Generate data from a fitted mediation model |
robmed |
(Robust) mediation analysis |
serial_m |
Create an object of hypothesized mediators or control variables |
setup_ci_plot |
Set up information for a dot plot with confidence intervals |
setup_ci_plot.boot_test_mediation |
Set up information for a dot plot with confidence intervals |
setup_ci_plot.list |
Set up information for a dot plot with confidence intervals |
setup_ci_plot.sobel_test_mediation |
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_density_plot.boot_test_mediation |
Set up information for a density plot of the indirect effect(s) |
setup_density_plot.list |
Set up information for a density plot of the indirect effect(s) |
setup_density_plot.sobel_test_mediation |
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_ellipse_plot.cov_fit_mediation |
Set up a diagnostic plot with a tolerance ellipse |
setup_ellipse_plot.list |
Set up a diagnostic plot with a tolerance ellipse |
setup_ellipse_plot.reg_fit_mediation |
Set up a diagnostic plot with a tolerance ellipse |
setup_ellipse_plot.test_mediation |
Set up a diagnostic plot with a tolerance ellipse |
setup_weight_plot |
Set up a diagnostic plot of robust regression weights |
setup_weight_plot.reg_fit_mediation |
Set up a diagnostic plot of robust regression weights |
setup_weight_plot.test_mediation |
Set up a diagnostic plot of robust regression weights |
sim_mediation |
Generate data from a fitted mediation model |
sim_mediation.fit_mediation |
Generate data from a fitted mediation model |
sim_mediation.test_mediation |
Generate data from a fitted mediation model |
summary.boot_test_mediation |
Summary of results from (robust) mediation analysis |
summary.cov_fit_mediation |
(Robustly) fit a mediation model |
summary.reg_fit_mediation |
(Robustly) fit a mediation model |
summary.sobel_test_mediation |
Summary of results from (robust) mediation analysis |
summary.test_mediation |
Summary of results from (robust) mediation analysis |
test_mediation |
(Robust) mediation analysis |
test_mediation.default |
(Robust) mediation analysis |
test_mediation.fit_mediation |
(Robust) mediation analysis |
test_mediation.formula |
(Robust) mediation analysis |
weights.cov_Huber |
Robustness weights of Huber M-estimation of location and scatter |
weight_plot |
Diagnostic plot of robust regression weights |
weight_plot.default |
Diagnostic plot of robust regression weights |
weight_plot.setup_weight_plot |
Diagnostic plot of robust regression weights |