Man pages for rpsychologist/powerlmm
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... |
| get_DEFT | Calculate the design effect and Type I errors |
| get_dropout | Get the amount of dropout |
| get_ICC_pre_clusters | Calculate the amount of baseline variance at the cluster... |
| 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... |
| get_power | Calculate power for two- and three-level models with missing... |
| get_power_table | Create a power table for a combination of parameter values |
| get_sds | Calculate the model implied standard deviations per time... |
| get_slope_diff | Return the raw difference between the groups at posttest |
| get_var_ratio | Calculates the ratio of the slope variance to the... |
| get_VPC | 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_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_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 |
| sim_formula | Create a simulation formula |
| sim_formula_compare | Compare multiple simulation formulas |
| simulate_data | Generate a data set using a 'study_parameters'-object |
| simulate.plcp | Perform a simulation study using a 'study_parameters'-object |
| study_parameters | Setup study parameters |
| sub-.plcp_multi_power | Subset function for 'plcp_multi_power'-objects |
| summary.plcp_multi_sim | Summarize simulations based on a combination of multiple... |
| summary.plcp_sim | Summarize the results from a simulation of a single study... |
| 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 |
