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MNM (version 0.95-2)

Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks

Description

The package provides multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components.

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Version

Install

install.packages('MNM')

Monthly Downloads

209

Version

0.95-2

License

GPL (>= 2)

Maintainer

Klaus Nordhausen

Last Published

May 18th, 2011

Functions in MNM (0.95-2)

plotMvloc

Function to Plot Multivariate Location Estimates and Their Confidence Ellipsoids.
screeplot.mvPCA

Plotting Method for a Principal Component Object of Type mvPCA
summary.mvcloc

Summarizing an 'mvcloc' Object
plot.mvloc

Plotting Method for mvloc Objects
coef.mvl1lm

Coefficients of an mvl1lm Object
mv.1sample.est

Multivariate One Sample Location Estimates
mv.l1lm

Linear Regression Based on Identity, Spatial Sign or Spatial Rank Scores
summary.mvl1lm

Summary for an mvl1lm Object
print.mvPCA

Printing Method for a Principal Component Object of Type mvPCA
MNM-package

Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks.
mv.2sample.est

Multivariate Two Sample Shift Estimates
plotShape

Pairwise Scatterplot Matrix of Shape Matrices
beans

Randomized Block Experiment of Plots of Beans
mv.1sample.test

Multivariate Location Tests
fitted.mvl1lm

Fitted Values of an mvl1lm Object
anova.mvl1lm

Comparisons between Multivariate Linear Models
predict.mvl1lm

Predicted Values Based on a Model Fitted by mv.l1lm
mv.shape.est

Shape Matrices
print.mvl1lm

Printing an mvl1lm Object
mv.2way.est

Treatment Effect Estimates in the Randomized Complete Block Case
runifsphere

Random Samples From the Unit Sphere
mv.ind.test

Independence Test
mvPCA

Principal Component Analysis
pairs2

Plotting two numeric matrices
mv.shape.test

Test for Sphericity
summary.mvPCA

Summary for an object of class mvPCA.
spatial.sign2

Spatial Signs
vcov.mvl1lm

Variance-Covariance Matrix of an mvl1lm Object
predict.mvPCA

Prediction Method for a Principal Component Object of Type mvPCA
print.mvloc

Printing an 'mvloc' Object
residuals.mvl1lm

Residuals of an mvl1lm Object
summary.mvloc

Summarizing an 'mvloc' Object
plot.mvl1lm

Residual Plot for an mvl1lm Object
mv.2way.test

Randomized Complete Block Design.
affine.trans

Function For Affine Data Transformation
print.mvcloc

Printing an 'mvcloc' Object
rmvpowerexp

Random Samples From a Power Exponential Distributions
mv.Csample.test

C Sample Test of Location
print.anovamvl1lm

Printing an Object of Class anovamvl1lm