Memoise a copy of wrap_computation_kamila — wrap_computation

Create a memoised copy of wrap_computation_kamila.

Usage

wrap_computation_kamila(tl_inp, tl_prepadata)

tl_inp

List of input data frames of which we use:

PARAM_KAMILA$calc_kstar: If TRUE, estimates the clusters. Else, takes the parameter PARAM_KAMILA$param_kstar.
PARAM_KAMILA$cont_var_expl: List of continuous variables chosen as explicative variables.
PARAM_KAMILA$categ_var_expl: List of categorical variables chosen as explicative variables.

tl_prepadata

List of data frames prepared in a first step.

tl_mod_calc_kamila with the following data frames:

PLOTDATKAM Data frame containing the clusters factor and the other variables.
KM_RES_FINAL Data frame containing the resulting parameters of the clustering.
CONTVARS Data frame containing the continuous standardised variables.
FULL_CONT_DF Data frame containing the continuous variables used for the estimation.
FULL_CATEG_DF Data frame containing the categorical variables used for the estimation.