RGBM.test


Model returned by <code><a rd-options="" href="/link/RGBM.train?package=RGBM&version=1.0-4" data-mini-rdoc="RGBM::RGBM.train">RGBM.train</a></code> function.


model


Input S-by-P feature matrix of unseen samples. Columns correspond to features, rows correspond to samples.


X.test


Input S-element response vector of unseen samples.


Y.test


Number of extensions of boosting model to take when predicting response. Must be not greater than <code>M.train</code> used when training boosting model.


M.test

This function tests a regression model for a given <code>X.test</code> feature matrix, <code>Y.test</code> response vector, and working parameters.

Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).

Raghvendra Mall

RGBM

LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network
Reconstruction

RGBM.test function


Model returned by <code><a rd-options='' href='RGBM.train'>RGBM.train</a></code> function.


RGBM.test:

Description

Usage

Arguments

Value