phenorm_longit_simpl {PheVis}

phenorm_longit_simpl

Description

'PheNorm' like function adapted to longitudinal data.

Usage

phenorm_longit_simpl(
  df,
  var_surrogate,
  surrogates_quali,
  id_rnd,
  rf = FALSE,
  ntree = 100,
  bool_weight = FALSE,
  p.noise = 0.3,
  bool_SAFE = TRUE,
  size = 10^5
)

Arguments

df

dataframe

var_surrogate

variables used for building the surrogates

surrogates_quali

numeric vector of the qualitative surrogate

id_rnd

ID for random effect

rf

should pseudo-labellisation with random forest be used (default is FALSE)

ntree

number of tree for randomforest (default is 100)

bool_weight

should the sampling probability balance the number of positive and negative extrema.

p.noise

percentage of noise introduced during the noising step

bool_SAFE

A boolean. If TRUE, SAFE selection is done, else it is not (default is TRUE)

size

minimum size of sampling

Value

A list with the logistic model, the random forest model, the variables selected for prediction and the predictions