Man pages for andjar/ALASCA
Assorted, Linear ASCA Functions
| ALASCA | Create an ALASCA model |
| AlascaModel | R6 Class Representing an ALASCA model |
| AlascaPlot | R6 Class that helps visualizing an ALASCA model |
| build_model | Organize the ALASCA model construction |
| clean_alasca | Clean the ALASCA data |
| clean_pca | Clean the PCA data |
| do_pca | Perform PCA |
| do_reduce_dimensions | Perform PCA for Limm-PCA |
| do_validate | Validate the ALASCA model LMM |
| find_missing_predictor_variables | Check if predictor variables are missing |
| find_missing_response_variables | Check if response variables are missing |
| flip | Flip an ALASCA object |
| flip.AlascaModel | Flip an ALASCA object |
| get_bootstrap_data | Make bootstrap data set |
| get_covars | Get coefficients for covariates |
| get_covars.AlascaModel | Get coefficients for covariates |
| get_default_scaling_function | Get a scaling function |
| get_effect_matrix | Get effect matrix |
| get_loadings | Returns model scores |
| get_loadings.AlascaModel | Returns model loadings |
| get_pca_function | Summary |
| get_predictions | Get coefficients for covariates |
| get_predictions.AlascaModel | Returns model predictions |
| get_regression_coefficients | Get regression coefficients |
| get_regression_formula | Modify formula |
| get_regression_predictions | Validate underlying regression models |
| get_scaling_function | Get a scaling function |
| get_scores | Returns model scores |
| get_scores.AlascaModel | Returns model scores |
| get_validation_percentiles | Extract percentiles |
| get_validation_percentiles_covars | Extract percentiles for covariates |
| get_validation_percentiles_loading | Extract percentiles for loading |
| get_validation_percentiles_regression | Extract percentiles for regressions |
| get_validation_percentiles_score | Extract percentiles for scores |
| plot_covar | Plot covariate coefficients |
| plot_covariate | Plot covariate coefficients |
| plot_covariates | Plot covariate coefficients |
| plot_mm | Plot marginal means |
| plot_val | Plot covariate coefficients |
| prepare_validation_run | Make a single validation run |
| remove_covars | Remove unwanted covariables |
| remove_embedded_data | Remove df from object |
| residuals.AlascaModel | Prints a marco object |
| run_regression | Run regressions |
| save.AlascaModel | Save ALASCA model |
| screeplot | Get screeplot |
| screeplot.AlascaModel | Get screeplot |
| set_method | Determine whether to use LM or LMM |
| summary.AlascaModel | Summary |
