| check_dichotomous | Check dichotomous distribution for one variable |
| checkforfactor | Checking factors |
| colnames_prep | Colnames preparation |
| complete_separation | Choice of complete separation method |
| data_prep_complete | Preparing datas for logistic regression |
| detect_outliers | Detect outliers |
| excel | xlsx |
| format_data | Data formating |
| formulation | Object to coerce objects to a formule object |
| get_explicatives_matrix | Explicatives matrix |
| get_y_vector | Get y vector |
| load_package | Load package |
| logit | Function Logit |
| make_palette | Palette |
| multivariate_selection | Variable selection for a multivariate logistic regression... |
| NA_rm_for_glm | Removing of all NAs and change the dataframe if too many rows... |
| NA_separation | Looking for complete NA separation |
| plain | plain |
| progressbar | Progressbar |
| propensity | Propensity score |
| reglog | Logistic Regression Function |
| roundp | Round for p value |
| sankeyplot | Sankey plot |
| stability_proportion | Inclusion proportion by bootstrap |
| stability_select_meaningful | Selection of the meaningfull variables |
| survivor | Survivor |
| table1 | Table 1 |
| tobinary | Coerce a column into a binary column |
| tphistogram | Histogram |
| variables_means | Mean coefficents on bootstrap |
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