# Power Analysis for Longitudinal Multilevel Models

## Documentation for package ‘powerlmm’ version 0.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

powerlmm-package | Power Analysis for Longitudinal Multilevel Models
as.data.frame.plcp_multi_sim_summary | Convert a multi-sim summary object to a tidy data.frame
cohend | Use Cohen's d as the effect size in 'study_parameters'
create_lmer_formula | Create an lmer formula based on a 'study_parameters'-object
dropout_manual | Manually specify dropout per time point
dropout_weibull | Use the Weibull distribution to specify the dropout process
get_correlation_matrix | Calculate the subject-level (ICC) correlations among time points
get_correlation_matrix.plcp_multi | Calculate the subject-level (ICC) correlations among time points
get_DEFT | Calculate the design effect and Type I errors
get_DEFT.plcp_3lvl | Calculate the design effect and Type I errors
get_dropout | Get the amount of dropout
get_dropout.plcp_multi | Get the amount of dropout
get_ICC_pre_clusters | Calculate the amount of baseline variance at the cluster level
get_ICC_pre_subjects | Calculate the subject-level ICC at pretest
get_ICC_slope | Calculate the amount of slope variance at the third level
get_monte_carlo_se | Calculate the Monte Carlo standard error of the empirical power estimates
get_monte_carlo_se.plcp_power_2lvl | Calculate the Monte Carlo standard error of the empirical power estimates
get_monte_carlo_se.plcp_power_3lvl | Calculate the Monte Carlo standard error of the empirical power estimates
get_power | Calculate power for two- and three-level models with missing data.
get_power_table | Create a power table for a combination of parameter values
get_sds | Calculate the model implied standard deviations per time point
get_slope_diff | Return the raw difference between the groups at posttest
get_slope_diff.plcp | Return the raw difference between the groups at posttest
get_slope_diff.plcp_multi | Return the raw difference between the groups at posttest
get_var_ratio | Calculates the ratio of the slope variance to the within-subjects error variance
get_VPC | Calculate the variance partitioning coefficient
get_VPC.plcp | Calculate the variance partitioning coefficient
per_treatment | Setup parameters that differ per treatment group
plot.plcp | Plot method for 'study_parameters'-objects
plot.plcp_ICC2 | Plot method for 'get_correlation_matrix'-objects
plot.plcp_power_table | Plot method for 'get_power_table'-objects
plot.plcp_sds | Plot method for 'get_sds'-objects
plot.plcp_VPC | Plot method for 'get_VPC'-objects
powerlmm | Power Analysis for Longitudinal Multilevel Models
print.plcp_2lvl | Print method for two-level 'study_parameters'-objects
print.plcp_3lvl | Print method for three-level 'study_parameters'-objects
print.plcp_compare_sim_formula | Print method for simulation formulas
print.plcp_ICC2 | Print method for 'get_correlation_matrix'-objects
print.plcp_mc_se | Print method for 'get_monte_carlo_se'-objects
print.plcp_multi | Print method for 'study_parameters'-multiobjects
print.plcp_multi_power | Print method for 'get_power'-multi
print.plcp_multi_sim | Print method for 'simulate.plcp_multi'-objects
print.plcp_multi_sim_summary | Print method for 'summary.plcp_multi_sim'-objects
print.plcp_power_2lvl | Print method for two-level 'get_power'
print.plcp_power_3lvl | Print method for three-level 'get_power'
print.plcp_sds | Print method for 'get_sds'-objects
print.plcp_sim | Print method for 'simulate.plcp'-objects
print.plcp_sim_formula | Print method for simulation formulas
print.plcp_sim_formula_compare | Print method for 'simulate.plcp'-objects
print.plcp_sim_summary | Print method for 'summary.plcp_sim'-objects
print.plcp_VPC | Print method for 'get_vpc'-objects
shiny_powerlmm | Launch powerlmm's Shiny web application
simulate.plcp | Perform a simulation study using a 'study_parameters'-object
simulate.plcp_multi | Perform a simulation study using a 'study_parameters'-object
simulate_data | Generate a data set using a 'study_parameters'-object
simulate_data.plcp | Generate a data set using a 'study_parameters'-object
simulate_data.plcp_multi | Generate a data set using a 'study_parameters'-object
sim_formula | Create a simulation formula
sim_formula_compare | Compare multiple simulation formulas
study_parameters | Setup study parameters
summary.plcp_multi_sim | Summarize simulations based on a combination of multiple parameter values
summary.plcp_sim | Summarize the results from a simulation of a single study design-object
summary.plcp_sim_formula_compare | Summarize the results from a simulation of a single study design-object
transform_to_posttest | Helper to transform the simulated longitudinal 'data.frame'
unequal_clusters | Setup unbalanced cluster sizes
update.plcp | Update a 'study_parameters'-object with new settings
[.plcp_multi_power | Subset function for 'plcp_multi_power'-objects