crossvalidation_levelplot: Cross-validation levelplot

In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data

Description

Plots the cross-validation results for the number of components Q and penalty parameter lambda, with the optimal and ensemble models marked

Usage

crossvalidation_levelplot(note_x, note_y, letter = list(char = "", xloc =
  1, yloc = 1), ...)

Arguments

note_x	vector of components (x-axis).
note_y	vector of penalty parameters (y-axis).
letter	A named list containing a string char to be plotted as a subplot label at (xloc,yloc).

pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.