Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 91 found.
[1] < 1 2 3 4 5 6 7 8 9 10 > [10]  Sort:

estepE (Package: mclust) :

Implements the expectation step in the EM algorithm for a parameterized Gaussian mixture model.
● Data Source: CranContrib
● Keywords: cluster
● Alias: estepE, estepEEE, estepEEI, estepEEV, estepEII, estepEVE, estepEVI, estepEVV, estepV, estepVEE, estepVEI, estepVEV, estepVII, estepVVE, estepVVI, estepVVV
● 0 images

clustCombi-internal (Package: mclust) : Internal clustCombi functions

Internal functions not intended to be called directly by users.
● Data Source: CranContrib
● Keywords: internal
● Alias: combi, pcws2_reg, pcws3_reg, xlog
● 0 images

hclass (Package: mclust) :

Determines the classifications corresponding to different numbers of groups given merge pairs from hierarchical agglomeration.
● Data Source: CranContrib
● Keywords: cluster
● Alias: hclass
● 0 images

mclustBootstrapLRT (Package: mclust) : Bootstrap Likelihood Ratio Test for the Number of Mixture Components

Perform the likelihood ratio test (LRT) for assessing the number of mixture components in a specific finite mixture model parameterisation. The observed significance is approximated by using the (parametric) bootstrap for the likelihood ratio test statistic (LRTS).
● Data Source: CranContrib
● Keywords: cluster, htest
● Alias: mclustBootstrapLRT, plot.mclustBootstrapLRT, print.mclustBootstrapLRT
● 0 images

adjustedRandIndex (Package: mclust) :

Computes the adjusted Rand index comparing two classifications.
● Data Source: CranContrib
● Keywords: cluster
● Alias: adjustedRandIndex
● 0 images

imputePairs (Package: mclust) :

Creates a scatter plot for each pair of variables in given data, allowing display of imputations for missing values in different colors and symbols than non missing values.
● Data Source: CranContrib
● Keywords: cluster
● Alias: imputePairs
● 0 images

mclustModelNames (Package: mclust) :

Description of model names used in the MCLUST package.
● Data Source: CranContrib
● Keywords: cluster
● Alias: mclustModelNames
● 0 images

randProj (Package: mclust) :

Plots random projections given multidimensional data and parameters of an MVN mixture model for the data.
● Data Source: CranContrib
● Keywords: cluster
● Alias: randProj
● 0 images

summary.mclustBIC (Package: mclust) : Summary function for model-based clustering via BIC

Optimal model characteristics and classification for model-based clustering via mclustBIC.
● Data Source: CranContrib
● Keywords: cluster
● Alias: print.summary.mclustBIC, printSummaryMclustBIC, printSummaryMclustBICn, summary.mclustBIC, summaryMclustBIC, summaryMclustBICn
● 0 images

mapClass (Package: mclust) :

Best correspondence between classes given two vectors viewed as alternative classifications of the same object.
● Data Source: CranContrib
● Keywords: cluster
● Alias: mapClass
● 0 images