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6743167440 of 82199 results
67431.
The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.
Description
(no translation yet)
Located in Package: r-cran-amelia
67432.
GNU R: A MORE flexible neural network package
Summary
paquet plus flexible de réseau neuronal de GNU[nbsp]R
Translated by Łukasz Zemczak
Located in Package: r-cran-amore
67433.
This package was born to release the TAO robust neural network algorithm to the R users. It has grown and can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the "user space".
Description
Ce paquet a été créé pour publier l’algorithme de réseau neuronal robuste TAO pour les utilisateurs de[nbsp]R. Il s’est étoffé et peut être intéressant pour les utilisateurs qui veulent mettre en œuvre leurs propres algorithmes d’apprentissage ainsi que ceux dont les besoins se situent uniquement en «[nbsp]espace utilisateur[nbsp]».
Translated by Łukasz Zemczak
Located in Package: r-cran-amore
67434.
GNU R package that provides tools for base64 encoding
Summary
(no translation yet)
Located in Package: r-cran-base64enc
67435.
This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.
Description
(no translation yet)
Located in Package: r-cran-base64enc
67436.
GNU R package for Bayesian inference
Summary
paquet de GNU[nbsp]R pour l’inférence bayésienne
Translated by Michael Vogt
Located in Package: r-cran-bayesm
67437.
The bayesm package covers many important models used in marketing and micro-econometrics applications. The package includes:
Description
Le paquet bayesm couvre plusieurs modèles importants d’applications de commerce et de microéconométrie. Ce paquet comprend[nbsp]:
Translated by Michael Vogt
Located in Package: r-cran-bayesm
67438.
* Bayes Regression (univariate or multivariate dep var)
* Multinomial Logit (MNL) and Multinomial Probit (MNP)
* Multivariate Probit,
* Multivariate Mixtures of Normals
* Hierarchical Linear Models with normal prior and covariates
* Hierarchical Multinomial Logits with mixture of normals prior and
covariates
* Bayesian analysis of choice-based conjoint data
* Bayesian treatment of linear instrumental variables models
* Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
(as in Rossi et al, JASA (01)).
Description
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(no translation yet)
Located in Package: r-cran-bayesm
67439.
For further reference, consult the authors' book, _Bayesian Statistics and Marketing_ by Allenby, McCulloch and Rossi.
Description
Pour plus de référence, consulter le livre des auteurs «[nbsp]Bayesian Statistics and Marketing[nbsp]» par Allenby, McCulloch et Rossi.
Translated by Michael Vogt
Located in Package: r-cran-bayesm
67440.
GNU R package implementing bitwise operations
Summary
(no translation yet)
Located in Package: r-cran-bitops
6743167440 of 82199 results

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