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 |