ZIprop (version 0.1.1)

indicator_max: The max performance indicator

Description

Search for the set of parameters that maximize the indicator (equivalent to Spearman correlation). For a given set of factors scaled between 0 and 1 and a zero-inflated proportions response.

Usage

indicator_max(
  DT,
  ColNameFactor,
  ColNameWeight = "weight",
  bounds = c(-10, 10),
  max_generations = 200,
  hard_limit = TRUE,
  wait_generations = 50,
  other_class = NULL
)

Arguments

DT

a data table contains the factors and the response.

ColNameFactor

a char vector with the name of the selected factor.

ColNameWeight

a char with the name of the ZI response.

bounds

default is $[-10;10]$. Upper and Lower bounds.

max_generations

default is 200 see genoud for more information.

hard_limit

default is TRUE see genoud for more information.

wait_generations

default is 50 see genoud for more information.

other_class

a char vector with the name of other classes than numeric (factor or char).

Value

Return a list of two elements with the value of the indicator and the associate set of parameters (beta).

Examples

# NOT RUN {
library(data.table)
data(example_data)
# For real cases increase max_generations and wait_generations
I_max = indicator_max(example_data,
names(example_data)[c(4:8, 14:18)],
ColNameWeight = "proba",
max_generations = 20,
wait_generations = 5)
print(I_max)
# }