decision_cross: Creates evaluation plot for decision boundary

In Holdols/genstats: Analyse genetic data

Creates evaluation plot for decision boundary

Description

The function creates one plot for each given bound. It shows the confusion matrix for the mean of each bound. The function can be used to find which boundary for PRS best describes the data.

Usage

decision_cross(
  train_data,
  y,
  cross_folds,
  bounds,
  thr,
  ncores = 1,
  LogReg = FALSE
)

Arguments

train_data	List generated from gen_sim.
y	The target vector. Could either be estimated liabilities from LTFH or phenotypes.
cross_folds	Number of folds in cross validation.
bounds	Decision boundaries to plot outcome for.
thr	Threshold for p-value to be used in calculating PRS.
ncores	Amount of cores to be used.
LogReg	Boolean indicating if logistic regression should be used to estimate the casual effect.

Value

The confusion matrix for the mean of each bound.

Holdols/genstats documentation built on June 10, 2022, 6:05 a.m.