MUVR20.1.0 package

Multivariate Methods with Unbiased Variable Selection

biplotPLS

PLS biplot

checkinput

Check input

confusionMatrix

Confusion matrix

crispEM

Effect matrix for the crisp multilevel tutorial

customParams

Make custom parameters for internal modelling

get_rmsep

Get RMSEP

getBER

Get BER

getMISS

Get number of misclassifications

getVar

Get min, mid or max model from Elastic Net modelling

getVIRank

Get variable importance

H0_reference

Get reference distribution for resampling tests

H0_test

Perform permutation or resampling tests

IDR

Subject identifiers for the rye metabolomics regression tutorial

IDR2

Subject identifiers for the rye metabolomics regression tutorial, usin...

mergeModels

Merge two MUVR class objects

MUVR2_EN

MUVR2 with EN

MUVR2

MUVR2 with PLS and RF

nearZeroVar

Identify variables with near zero variance

onehotencoding

One hot encoding

permutationPlot

Plot permutation analysis

plotMV

Plot predictions

plotPCA

PCA score plot

plotPerm

Plot for comparison of actual model fitness vs permutation/resampling

plotPred

Plot predictions for PLS regression

plotStability

Plot stability

plotVAL

Plot validation metric

plotVIRank

Plot variable importance ranking

pPerm

Calculate permutation p-value Calculate perutation p-value of actual m...

predMV

Predict outcomes Predict MV object using a MUVR class object and a X t...

preProcess

Perform matrix pre-processing

Q2_calculation

Q2 calculation

qMUVR2

Wrapper for speedy access to MUVR2 (autosetup of parallelization)

rdCV

Wrapper for repeated double cross-validation without variable selectio...

rdcvNetParams

Make custom parameters for rdcvNet internal modelling

sampling_from_distribution

Sampling from the distribution of something

varClass

Report variables belonging to different classes

Xotu

Microbiota composition in mosquitos for the classification tutorial

XRVIP

Metabolomics data for the rye metabolomics regression tutorial

XRVIP2

Metabolomics data for the rye metabolomics regression tutorial, using ...

Yotu

Village of capture of mosquitos for the classification tutorial

YR

Rye consumption for the rye metabolomics regression tutorial

YR2

Rye consumption for the rye metabolomics regression tutorial, using un...

Predictive multivariate modelling for metabolomics. Types: Classification and regression. Methods: Partial Least Squares, Random Forest ans Elastic Net Data structures: Paired and unpaired Validation: repeated double cross-validation (Westerhuis et al. (2008)<doi:10.1007/s11306-007-0099-6>, Filzmoser et al. (2009)<doi:10.1002/cem.1225>) Variable selection: Performed internally, through tuning in the inner cross-validation loop.

  • Maintainer: Yingxiao Yan
  • License: GPL-3
  • Last published: 2024-09-16