Power Analysis for Moderation and Mediation


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Documentation for package ‘power4mome’ version 0.1.0

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as.power4test_by_es Power By Effect Sizes
as.power4test_by_n Power By Sample Sizes
c.power4test_by_es Power By Effect Sizes
c.power4test_by_n Power By Sample Sizes
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
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
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.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.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
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.power4test Rejection Rates
rejection_rates.power4test_by_es Rejection Rates
rejection_rates.power4test_by_n 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.n_region_from_power Summarize 'x_from_power' 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