Man pages for tpgarcia/stride
STRIDE: Robust powerful mixture models
| common_error_messages | Common error messages |
| compute.r | Sample sizes of mixture proportion groups. |
| compute.uset | Mixture porportion group identifier |
| error_max_value | Error from exceeding maximum |
| error_nonpositive_value | Check non-negativity |
| error_number_of_predictors | Check number of predictors are valid |
| error_positive_value | Check positivity |
| error_type_number | Incorrect size or type |
| estimator.main | Estimator implementation |
| GenerateData | Generate data |
| get.empty.list | Create empty list |
| get_method_label | Method names |
| get_variable_name | Variable name |
| make.data.set | Data matrix for dynamic landmark prediction of mixture data |
| myquantiles.hi | One minus alpha quantile |
| myquantiles.lo | Alpha quantile |
| qvs.values | Generate finite set of mixture proportions |
| stop_length_message | Check dimension requirement |
| stop_options_message | Incorrect type |
| stride | stride package |
| stride.bootstrap.variance | Bootstrap variance estimator |
| stride.empava | STRIDE Expectation Maximization with Pool Adjacent Violators... |
| stride.estimator | STRIDE: Robust powerful mixture models |
| stride.estimator.wrapper | Wrapper function to access STRIDE estimator |
| stride.nocovariates | STRIDE estimators without covariates |
