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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.