Power Analysis for Moderation and Mediation

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Documentation for package ‘power4mome’ version 0.2.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

arg_x_from_power	Sample Size and Effect Size Determination
as.power4test_by_es	Power By Effect Sizes
as.power4test_by_n	Power By Sample Sizes
bz_helpers	Helpers for the Boos-and-Zhang (2000) Method
c.power4test_by_es	Power By Effect Sizes
c.power4test_by_n	Power By Sample Sizes
cut_patterns	Process Data by Creating Ordinal Variables
do_test	Do a Test on Each Replication
find_par_names	Test All Free Parameters
fit_model	Fit a Model to a List of Datasets
gen_boot	Generate Bootstrap Estimates
gen_mc	Generate Monte Carlo Estimates
missing_values	Process Data by Generating Missing Values
model_matrices_pop	Generate the Population Model
n_from_power	Sample Size and Effect Size Determination
n_region_from_power	Sample Size and Effect Size Determination
ordinal_variables	Process Data by Creating Ordinal Variables
pba_diagnosis	Sample Size and Effect Size Determination
plot.n_region_from_power	Plot The Results of 'x_from_power'
plot.power4test_by_es	Plot a Power Curve
plot.power4test_by_n	Plot a Power Curve
plot.power_curve	Plot a Power Curve
plot.q_power_mediation	All-in-One Power Estimation For Mediation Models
plot.x_from_power	Plot The Results of 'x_from_power'
pool_sim_data	Simulate Datasets Based on a Model
pop_es_yaml	Parse YAML-Stye Values For 'pop_es'
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
print.n_region_from_power	Sample Size and Effect Size Determination
print.power4test	Estimate the Power of a Test
print.power4test_by_es	Power By Effect Sizes
print.power4test_by_n	Power By Sample Sizes
print.power_curve	Power Curve
print.q_power_mediation	All-in-One Power Estimation For Mediation Models
print.rejection_rates_df	Rejection Rates
print.sim_data	Simulate Datasets Based on a Model
print.sim_out	Create a 'sim_out' Object
print.summary.n_region_from_power	Summarize 'x_from_power' Results
print.summary.x_from_power	Summarize 'x_from_power' Results
print.test_out_list	Summarize Test Results
print.test_summary	Summarize Test Results
print.test_summary_list	Summarize Test Results
print.x_from_power	Sample Size and Effect Size Determination
ptable_pop	Generate the Population Model
q_power_mediation	All-in-One Power Estimation For Mediation Models
q_power_mediation_parallel	All-in-One Power Estimation For Mediation Models
q_power_mediation_serial	All-in-One Power Estimation For Mediation Models
q_power_mediation_simple	All-in-One Power Estimation For Mediation Models
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
rejection_rates.default	Rejection Rates
rejection_rates.n_region_from_power	Rejection Rates
rejection_rates.power4test	Rejection Rates
rejection_rates.power4test_by_es	Rejection Rates
rejection_rates.power4test_by_n	Rejection Rates
rejection_rates.q_power_mediation	Rejection Rates
rejection_rates.x_from_power	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
Rs_bz_supported	Helpers for the Boos-and-Zhang (2000) Method
rt_rs	Random Variable From a t Distribution
runif_rs	Random Variable From a Uniform Distribution
R_for_bz	Helpers for the Boos-and-Zhang (2000) Method
scale_scores	Process Data by Computing Scale Scores
sim_data	Simulate Datasets Based on a Model
sim_out	Create a 'sim_out' Object
summarize_tests	Summarize Test Results
summary.n_region_from_power	Summarize 'x_from_power' Results
summary.q_power_mediation	All-in-One Power Estimation For Mediation Models
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_group_equal	Test Group Constraints
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