R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
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Results 1 - 10 of 13 found.
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bootstrap (Package: EMMIXskew) : Bootstrap

The standard error analysis and the bootstrap analysis of -2log(Lambda).

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: bootstrap, bootstrap.noc
● 0 images

rdemmix (Package: EMMIXskew) : Simulate Data Using Mixture Models

Generate random number from specified mixture models, including univariate and multivariate Normal distribution, t-distribution, Skew Normal distribution, and Skew t-distribution.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: rdemmix, rdemmix2, rdemmix3
● 5 images

getICL (Package: EMMIXskew) : The ICL criterion

Calculate the Integrated Completed Likelihood(ICL) criterion

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: getICL
● 0 images

ddmsn (Package: EMMIXskew) : The Multivariate Skew Normal Distribution

Density and random generation for Multivariate Skew Normal distributions with mean vector mean, covariance matrix cov, and skew parameter vector del.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: ddmsn, rdmsn
● 0 images

ddmst (Package: EMMIXskew) : The Multivariate Skew t-distribution

Density and random generation for Multivariate Skew t-distributions with mean vector mean, covariance matrix cov, degrees of freedom nu, and skew parameter verctor del.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: ddmst, rdmst
● 0 images

getSWR (Package: EMMIXskew) : Calculate modes

Calculate the distances.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: getSWR, interdist, intradist, mahalonobis
● 0 images

EmSkew (Package: EMMIXskew) : The EM Algorithm and Skew Mixture Models

As a main function, EmSkew fits the data into the specified multivariate mixture models via the EM Algorithm. Distributions (univariate and multivariate) available include Normal distribution, t-distribution, Skew Normal distribution, and Skew t-distribution.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: EmSkew
● 1 images

ddmvn (Package: EMMIXskew) : The Multivariate Normal Distribution

Density and random generation for Multivariate Normal distributions with mean vector mean, and covariance matrix cov.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: ddmvn, rdmvn
● 0 images

error.rate (Package: EMMIXskew) : Error Rate

Calculate the Error Rate of a partition

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: error.rate, rand.index
● 0 images

ddmvt (Package: EMMIXskew) : The Multivariate t-Distribution

Density and random generation for Multivariate t-distributions with mean vector mean, covariance matrix cov, and degrees of freedom nu.

● Data Source: CranContrib
● Keywords: cluster, datasets
● Alias: ddmvt, rdmvt
● 0 images