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MLRMPA (version 1.0)

A package for Multilinear Regression Model Population Analysis

Description

This package provides Multilinear Regression Model Population Analysis to build a pool of models between quantitative activity and chemical descriptors. Also some useful model validation functions. Contains all molecular descriptors of 101 organic compounds and acticity dataset.

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Version

Install

install.packages('MLRMPA')

Monthly Downloads

10

Version

1.0

License

GPL-2

Maintainer

Xiaoyun Zhang

Last Published

September 12th, 2013

Functions in MLRMPA (1.0)

VarCor

VarCor Selection and Dataset Partition
activity

Setschenow Contants of 101 Organic Compounds
lmcv

LOOCV
plotcor

Histogram Plot of Correlation Distribution
deleted_descriptor

The Name of Non-information Descriptors
MLRMPA-package

Multiple Linear Regression Model Population Analysis
scale_MinMax

Min-Max Normalization
vif

Variance Inflation Factor
descriptor

Chemical Descriptors of All 101 Organic Compounds
Rsquared

Squared-R
stepMLRMPA

Multiple Linear Regression Model Population Analysis
plotvar

Histogram Plot of Variance Distribution
Qsquared.ext

Squared-Q of the Test Set