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6258962598 of 76009 results
62589.
lines3d Draws connected line segments in an rgl window.
Description
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Located in Package: r-cran-misc3d
62590.
parametric3d Plots a two-parameter surface in three dimensions in
rgl. Based on Mathematica's Param3D
Description
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Located in Package: r-cran-misc3d
62591.
slices3d Uses tkrplot to create an interactive slice view of three or
four dimensional volume data, such as MRI data.
Description
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(no translation yet)
Located in Package: r-cran-misc3d
62592.
GNU R package providing multivariate normal and t distribution
Summary
paquet de GNU[nbsp]R pour les distributions normales et de Student multidimensionnelles
Translated by Michael Vogt
Located in Package: r-cran-mnormt
62593.
This package provides functions for computing the density and the distribution function of, and for generating random vectors from the multivariate normal and multivariate t distributions. It provides functions similar in scope to those of the package 'mvtnorm', but with some differences; one of these is that probabilities are computed via a non-Monte Carlo method.
Description
Ce paquet fournit des fonctions pour le calcul de densités et de leur distribution, et pour la génération de vecteurs aléatoires des distributions normales multidimensionnelles et celles de Student multidimensionnelles. Il fournit des fonctions de périmètre similaire à celles du paquet «[nbsp]mvtnorm[nbsp]», mais avec quelques différences. Une d’elles est que les probabilités ne sont pas calculées selon une méthode de Monte-Carlo.
Translated by Michael Vogt
Located in Package: r-cran-mnormt
62594.
GNU R package for fitting multinomial probit (MNP) models
Summary
paquet de GNU[nbsp]R pour ajuster des modèles probit multinomiaux (MNP)
Translated by Michael Vogt
Located in Package: r-cran-mnp
62595.
MNP is an R package that fits Bayesian Multinomial Probit (MNP) models via Markov chain Monte Carlo (MCMC). Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation and complete or partial ordering of all the available alternatives. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004).
Description
MNP est un paquet de R qui adapte des modèles probit multinomiaux bayésiens (MNP) à l’aide de méthodes de Monte-Carlo par chaînes de Markov (MCMC). Selon le modèle probit multinomial standard, il peut aussi adapter des modèles avec différents ensembles de choix pour chaque observation et trier complètement ou partiellement toutes les alternatives disponibles. L'estimation se fonde sur l'algorithme d'augmentation marginale efficace des données développé par Imai et van[nbsp]Dyk[nbsp](2004).
Translated by Michael Vogt
Located in Package: r-cran-mnp
62596.
GNU R Multi-state Markov and hidden Markov models in continuous time
Summary
modèles de Markov multi-état et caché en temps continu
Translated by Michael Vogt
Located in Package: r-cran-msm
62597.
Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Description
Fonctions pour adapter des modèles de Markov temporels cachés et continus à des données longitudinales. Les taux de transitions de Markov et le processus de sortie de Markov caché peuvent être modélisés en terme de co- variables. Une variété de schémas d'observation sont permis, qui comprennent une surveillance des processus à des temps arbitraires, une observation complète des processus, et des états censurés.
Translated by Michael Vogt
Located in Package: r-cran-msm
62598.
GNU R package for multiple comparison procedures
Summary
paquet GNU R de plusieurs procédures de comparaison
Translated by Michael Vogt
Located in Package: r-cran-multcomp
6258962598 of 76009 results

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