Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 71 found.
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plot.NMixPlugDensMarg (Package: mixAK) :

This is a basic plotting tool to visualize computed marginal plug-in estimates of densities, see NMixPlugDensMarg.
● Data Source: CranContrib
● Keywords: dplot
● Alias: plot.NMixPlugDensMarg
● 0 images

MVN (Package: mixAK) :

Density and random generation for the multivariate normal distribution with mean equal to mean, precision matrix equal to Q (or covariance matrix equal to Sigma).
● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: MVN, dMVN, rMVN, rcMVN
● 0 images

plotProfiles (Package: mixAK) : Plot individual longitudinal profiles

It creates a plot of individual longitudinal profiles. It is based on the output from getProfiles function.
● Data Source: CranContrib
● Keywords: dplot
● Alias: plotProfiles
● 0 images

plot.NMixPredCondDensJoint2 (Package: mixAK) :

This is a basic plotting tool to visualize computed predictive pairwise bivariate conditional densities using the image or contour plot. See also NMixPredCondDensJoint2.
● Data Source: CranContrib
● Keywords: dplot
● Alias: plot.NMixPredCondDensJoint2
● 0 images

getProfiles (Package: mixAK) : Individual longitudinal profiles of a given variable

It creates a list with individual longitudinal profiles of a given variable.
● Data Source: CranContrib
● Keywords: dplot
● Alias: getProfiles
● 0 images

NMixMCMCdata (Package: mixAK) :

This is a help function for NMixMCMC function.
● Data Source: CranContrib
● Keywords: internal
● Alias: NMixMCMCdata
● 0 images

NMixMCMCinity (Package: mixAK) :

This is a help function for NMixMCMC function. If inity is not given, it calculates reasonable initial values for censored observations. If inity argument is given then it is checked for consistency and formatted on output.
● Data Source: CranContrib
● Keywords: internal
● Alias: NMixMCMCinity
● 0 images

NMixPlugDA (Package: mixAK) :

It performs discriminant analysis based on posterior summary for (re-labeled) mixture components in a model with fixed number of components fitted with NMixMCMC function.
● Data Source: CranContrib
● Keywords: cluster, multivariate, smooth
● Alias: NMixPlugDA
● 0 images

GLMM_longitDA (Package: mixAK) :

The idea is that we fit (possibly different) GLMM's for data in training groups using the function GLMM_MCMC and then use the fitted models for discrimination of new observations. For more details we refer to Kom<c3><83><c2><a1>rek et al. (2010).
● Data Source: CranContrib
● Keywords: cluster, models, multivariate
● Alias: GLMM_longitDA
● 0 images

GLMM_MCMCdata (Package: mixAK) :

This is a help function for GLMM_MCMC function.
● Data Source: CranContrib
● Keywords: internal
● Alias: GLMM_MCMCdata
● 0 images