Man pages for jbiesanz/fabs
Functions for Applied Behavioural Sciences
| boot.fiml | Bootstraps the full information maximum likelihood regression... |
| ci_beta | Creates a confidence interval for the standardized regression... |
| ci_d | Creates a confidence interval for the standardized mean... |
| ci_f | Creates a confidence interval for Cohen's f. |
| ci_r | Creates a confidence interval for the correlation. |
| ci_r2 | Creates a confidence interval for the squared multiple... |
| desired_ep_d | Determines the required sample size in a future study to... |
| desired_ep_Ftest | Determines the required sample size in a future study to... |
| desired_ep_r | Determines the required sample size in a future study to... |
| desired_ep_t | Determines the required sample size in a future study to... |
| d_robust | Estimates the robust standardized mean difference based on... |
| em.summary | Function to return the EM means and standard deviations using... |
| ep_Ftest | Determines the expected power in a future study with... |
| ep_r | Determines the expected power a future study with a specified... |
| fiml.regression | Wrapper function to estimate an lm() model in lavaan under... |
| norm.regression | Function to automate multiple imputation (MI) for missing... |
| posterior_Cohen_f | Samples from the posterior distribution of Cohen's f.... |
| posterior_d | Samples from the posterior distribution of the standardized... |
| posterior_r | Samples from the posterior distribution of the correlation... |
| posterior_t | Samples from the posterior distribution of the noncentral... |
| robust_lm_inferences | Estimates a series of robust regressions for a specified... |
| scale_all_variables | Function to standardize all variables based on supplied mean... |
