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MNM (version 0.95-3)

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

0.95-3

License

GPL (>= 2)

Maintainer

Klaus Nordhausen

Last Published

June 15th, 2011

Functions in MNM (0.95-3)

mv.2way.est

Treatment Effect Estimates in the Randomized Complete Block Case
plot.mvloc

Plotting Method for mvloc Objects
print.mvl1lm

Printing an mvl1lm Object
print.mvcloc

Printing an 'mvcloc' Object
mv.1sample.est

Multivariate One Sample Location Estimates
plot.mvl1lm

Residual Plot for an mvl1lm Object
mv.shape.test

Test for Sphericity
mv.shape.est

Shape Matrices
screeplot.mvPCA

Plotting Method for a Principal Component Object of Type mvPCA
mv.2way.test

Randomized Complete Block Design.
pairs2

Plotting two numeric matrices
print.mvPCA

Printing Method for a Principal Component Object of Type mvPCA
print.anovamvl1lm

Printing an Object of Class anovamvl1lm
affine.trans

Function For Affine Data Transformation
fitted.mvl1lm

Fitted Values of an mvl1lm Object
mv.ind.test

Independence Test
predict.mvl1lm

Predicted Values Based on a Model Fitted by mv.l1lm
rmvpowerexp

Random Samples From a Power Exponential Distributions
summary.mvcloc

Summarizing an 'mvcloc' Object
coef.mvl1lm

Coefficients of an mvl1lm Object
summary.mvloc

Summarizing an 'mvloc' Object
vcov.mvl1lm

Variance-Covariance Matrix of an mvl1lm Object
summary.mvl1lm

Summary for an mvl1lm Object
spatial.sign2

Spatial Signs
predict.mvPCA

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

Printing an 'mvloc' Object
mv.1sample.test

Multivariate Location Tests
mv.2sample.est

Multivariate Two Sample Shift Estimates
runifsphere

Random Samples From the Unit Sphere
anova.mvl1lm

Comparisons between Multivariate Linear Models
beans

Randomized Block Experiment of Plots of Beans
mv.Csample.test

C Sample Test of Location
MNM-package

Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks.
mv.l1lm

Linear Regression Based on Identity, Spatial Sign or Spatial Rank Scores
mvPCA

Principal Component Analysis
residuals.mvl1lm

Residuals of an mvl1lm Object
plotShape

Pairwise Scatterplot Matrix of Shape Matrices
plotMvloc

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

Summary for an object of class mvPCA.