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62678 → 62687 of 76009 results First • • • Last
62678.
This CRAN package provides an interface to the MPI (Message-Passing Interface) API. It also provides an interactive R slave environment in which distributed statistical computing can be carried out.
 
Description
Ce paquet de CRAN fournit une interface vers l’interface de programmation applicative MPI (Message-Passing Interface). Il fournit un environnement esclave interactif pour[nbsp]R, dans lequel le calcul statistique distribué peut être effectué.
Translated by Michael Vogt
Located in Package: r-cran-rmpi
62679.
GNU R regression modeling strategies by Frank Harrell
 
Summary
(no translation yet)
Located in Package: r-cran-rms
62680.
Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
 
Description
(no translation yet)
Located in Package: r-cran-rms
62681.
See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/Rrms.
 
Description
(no translation yet)
Located in Package: r-cran-rms
62682.
GNU R package providing a DBI-compliant interface to MySQL
 
Summary
paquet de GNU R fournissant une interface conforme à DBI pour MySQL
Translated by Michael Vogt
Located in Package: r-cran-rmysql
62683.
The package implements access to MySQL databases via the DBI interface of R.
 
Description
Ce paquet implémente l’accès aux bases de données MySQL à travers une interface DBI de⋅R.
Translated by Michael Vogt
Located in Package: r-cran-rmysql
62684.
GNU R package providing basic robust statistics
 
Summary
paquet de GNU[nbsp]R fournissant des statistiques de base robustes
Translated by Michael Vogt
Located in Package: r-cran-robustbase
62685.
This package provides 'essential' robust statistics. The goal of the package is to provide tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where the authors strive to cover the book "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; Wiley 2006.
 
Description
Ce paquet fournit des statistiques robustes «[nbsp]indispensables[nbsp]». Le but de ce paquet est de fournir des outils permettant d’analyser des données avec des méthodes robustes. Cela inclut la méthodologie de régression comprenant les sélections de modèle et les statistiques multivariées où les auteurs ambitionnent de traiter entièrement le livre «[nbsp]Robust Statistics, Theory and Methods[nbsp]» de Maronna, Martin et Yohai –[nbsp]Wiley[nbsp]2006.
Translated by Michael Vogt
Located in Package: r-cran-robustbase
62686.
GNU R package to prepare and display ROC curves
 
Summary
paquet de GNU[nbsp]R pour préparer et afficher des courbes ROC
Translated by Michael Vogt
Located in Package: r-cran-rocr
62687.
ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parametrized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parametrization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
 
Description
Les courbes de caractéristiques de performance (ROC), les courbes de sensibilité/spécificité, les graphes d’élévation (lift chart) et les graphiques de précision/rappel sont des exemples populaires de visualisations dans l’analyse de compromis (trade-off) pour des paires particulières de mesures de performance. ROCR est un outil flexible pour créer des courbes en 2D de performance paramétrées selon des seuils en combinant librement deux parmi 25[nbsp]mesures de performance (de nouvelles mesures peuvent être ajoutées en utilisant une interface standard). Des moyennes de courbes de différentes exécutions de validation croisée ou de bootstrap peuvent être réalisées par différentes méthodes, et des écarts-types, des erreurs-types ou des boîtes à moustache peuvent être utilisés pour visualiser les variations entre les exécutions. Le paramétrage peut être visualisé en imprimant des valeurs de seuil aux positions correspondantes des courbes ou en colorant la courbe selon le seuil. Tous les composants d’un tracé de performance peuvent être ajustés rapidement en utilisant un mécanisme flexible de répartition de paramètres. Malgré sa flexibilité, ROCR est d’utilisation aisée, avec seulement trois commandes et des valeurs par défaut appropriées pour toutes les options de paramètres.
Translated by Michael Vogt
Located in Package: r-cran-rocr
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