Last data update: 2014.03.03

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Results 1 - 7 of 7 found.
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MX.control (Package: gamlss.mx) : The control function for gamlssMX

The function sets controls for the gamlssMX function.
● Data Source: CranContrib
● Keywords: regression
● Alias: MX.control
● 0 images

plotMP (Package: gamlss.mx) : plotting mass points

A utility function for plotting two dimension non-parametric distribution. The function uses the persp() function.
● Data Source: CranContrib
● Keywords: regression
● Alias: plotMP
● 0 images

gamlssMX (Package: gamlss.mx) : Function to fit finite mixture of gamlss family distributions

The function gamlssMX is design for fitting a K fold non parametric mixture of gamlss family distributions.
● Data Source: CranContrib
● Keywords: regression
● Alias: gamlssMX, gamlssMXfits
● 0 images

dMX (Package: gamlss.mx) : Evaluate the d (pdf) and p (cdf) functions from GAMLSS mixtures

The functions dMX() and pMX() can be used to evaluated the pdf (p function) and the cdf (p function) receptively from a gamlss.family mixture. The functions getpdfMX() and getpdfNP() can be used to evaluate the fitted d function at a specified observation and therefore for plotting the fitted distribution of a fitted model at this observation.
● Data Source: CranContrib
● Keywords: distribution, regression
● Alias: dMX, getpdfMX, getpdfNP, pMX
● 0 images

NP.control (Package: gamlss.mx) : Control function for gamlssNP

This is a control function for gamlssNP function.
● Data Source: CranContrib
● Keywords: regression
● Alias: NP.control
● 0 images

gamlss.mx-package (Package: gamlss.mx) : The GAMLSS add on package for mixture distributions

The main purpose of this package is to allow the user of the GAMLSS models to fit mixture distributions.
● Data Source: CranContrib
● Keywords: distribution, package, regression
● Alias: gamlss.mx, gamlss.mx-package
● 0 images

gamlssNP (Package: gamlss.mx) : A function to fit finite mixtures using the gamlss family of distributions

This function will fit a finite (or normal) mixture distribution where the kernel distribution can belong to any gamlss family of distributions using the EM algorithm. The function is based on functions alldist() and allvc of the npmlreg package of Jochen Einbeck, John Hinde and Ross Darnell.
● Data Source: CranContrib
● Keywords: regression
● Alias: gamlssNP
● 0 images