Fx_class: Title

Description Usage Arguments

Description

Title

Usage

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Fx_class(hist = hist, CD = CD, map = map, sensitivities = sensitivities,
  lim = 1, FX = "FX", maxiter = 10000, parallel = F, minFG = 0,
  seed = 1, ...)

Arguments

hist

Matrix with historical correlation

CD

Matrix with credit drivers correlation

map

Dataframe with the correspondence

sensitivities

DataFrame. with sensitivities

lim

Numeric, limit of the sum squared of the factors, by default 1

FX

Character, name of the label of the FX

parallel

Logical, argument specifying if parallel computing should be used (TRUE) or not (FALSE, default) for evaluating the fitness function. This argument could also be used to specify the number of cores to employ; by default, this is taken from detectCores. Finally, the functionality of parallelization depends on system OS: on Windows only 'snow' type functionality is available, while on Unix/Linux/Mac OSX both 'snow' and 'multicore' (default) functionalities are available.

...

Arguments to be passed to the optimization function

lim

Numeric, limit of the sum squared of the factors, by default 1


dangulod/ECTools documentation built on May 4, 2019, 3:19 p.m.