Man pages for power4mome
Power Analysis for Moderation and Mediation
| do_test | Do a Test on Each Replication |
| fit_model | Fit a Model to a List of Datasets |
| gen_boot | Generate Bootstrap Estimates |
| gen_mc | Generate Monte Carlo Estimates |
| plot.power_curve | Plot a Power Curve |
| plot.x_from_power | Plot The Results of 'x_from_power' |
| pop_es_yaml | Parse YAML-Stye Values For 'pop_es' |
| power4mome-package | power4mome: Power Analysis for Moderation and Mediation |
| power4test | Estimate the Power of a Test |
| power4test_by_es | Power By Effect Sizes |
| power4test_by_n | Power By Sample Sizes |
| power_curve | Power Curve |
| predict.power_curve | Predict Method for a 'power_curve' Object |
| ptable_pop | Generate the Population Model |
| rbeta_rs | Random Variable From a Beta Distribution |
| rbeta_rs2 | Random Variable From a Beta Distribution (User Range) |
| rbinary_rs | Random Binary Variable |
| rejection_rates | Rejection Rates |
| rexp_rs | Random Variable From an Exponential Distribution |
| rlnorm_rs | Random Variable From a Lognormal Distribution |
| rpgnorm_rs | Random Variable From a Generalized Normal Distribution |
| rt_rs | Random Variable From a t Distribution |
| runif_rs | Random Variable From a Uniform Distribution |
| sim_data | Simulate Datasets Based on a Model |
| sim_out | Create a 'sim_out' Object |
| summarize_tests | Summarize Test Results |
| summary.x_from_power | Summarize 'x_from_power' Results |
| test_cond_indirect | Test a Conditional Indirect Effect |
| test_cond_indirect_effects | Test Several Conditional Indirect Effects |
| test_index_of_mome | Test a Moderated Mediation Effect |
| test_indirect_effect | Test an Indirect Effect |
| test_k_indirect_effects | Test Several Indirect Effects |
| test_moderation | Test All Moderation Effects |
| test_parameters | Test All Free Parameters |
| x_from_power | Sample Size and Effect Size Determination |
