Man pages for dalejbarr/simgen
Monte Carlo Simulations of Simultaneous Generalization
| createParamMx | Create Population Parameter Matrix for One-Factor Design |
| fitanova | Run ANOVA analysis |
| fitlmer | Run mixed-effects model using ('lmer') |
| fitlmer.mcmc | Run mixed-effects model ('lmer') with MCMC p-value |
| fitnocorr | Run mixed-effects model using ('lmer') |
| fitnocorr.mcmc | Run mixed-effects model ('lmer') with MCMC p-value |
| fitrsonly | Run mixed-effects model using ('lmer') |
| fitstepwise | Fit lmer model using model selection |
| fitstepwise.bestpath | Fit lmer model using model selection |
| genParamRanges | Data-generating parameter ranges |
| genParamRanges.facMixedAB | Data-generating parameter ranges |
| getParamRanges | Data-generating parameter ranges for one-factor design |
| heatmap2 | Create a heatmap from a given loess fit. |
| loessPred | Fit a loess model to the p-value data for later use in... |
| lrTest | Likelihood-Ratio Test for Fitted mer Objects |
| mcRun | Monte Carlo Simulation |
| mkDf | Make a dataframe with simulated data given a set of... |
| mkDf.facMixedAB | Generate simulated data from a two-way mixed factorial design |
| mkParamMx.facMixedAB | Make matrix of data-generating parameters for mixed factorial... |
| mkSeeds | Make random seeds for Monte Carlo runs |
| pconv | Proportion of runs achieving convergence |
| psig | Proportion of runs achieving statistical significance |
| reassembleStepwiseFile | Parse and assemble data in a stepwise file into an array. |
| tryFit | Fit model with error-trapping |
| tryUpdate | Update model with error-trapping |
