Package Descriptions for Ubuntu

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  1. Series trusty
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67422 → 67431 of 82199 results First • • • Last
67422.
This package has two functions. One reads a Affymetrix chip description file (CDF) and creates a hash table environment containing the location/probe set membership mapping. The other creates a package that automatically loads that environment.
 
Description
(no translation yet)
Located in Package: r-bioc-makecdfenv
67423.
BioConductor collection of pre-processing functions
 
Summary
collection de fonctions de prétraitement de BioConductor
Translated by Michael Vogt
Located in Package: r-bioc-preprocesscore
67424.
This BioConductor module contains a library of pre-processing functions. It is imported by several other BioConductor modules.
 
Description
Ce module de BioConductor fournit une bibliothèque de fonctions de prétraitement. Il est importé par plusieurs autres modules de BioConductor.
Translated by Michael Vogt
Located in Package: r-bioc-preprocesscore
67425.
GNU R package for Q-value estimation for FDR control
 
Summary
paquet de GNU[nbsp]R pour une estimation de valeurs-q pour le contrôle FDR
Translated by Michael Vogt
Located in Package: r-bioc-qvalue
67426.
This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.
 
Description
Ce paquet prend une liste de valeurs-p résultant du test simultané de plusieurs hypothèses et calcule leurs valeurs-q. La valeur-q d’un test mesure la proportion de faux positifs (appelé false discovery rate —[nbsp]taux de fausses découvertes) occasionnée quand un test particulier est dit significatif. Divers tracés sont automatiquement générés, permettant de dégager des niveaux de seuil pertinents. Plusieurs résultats mathématiques ont récemment montré la précision conservative des valeurs-q estimées à partir de ce logiciel. Ce logiciel peut être utilisé pour des problèmes de génomique, d’imagerie cérébrale, d’astrophysique ou d’exploration de données.
Translated by Michael Vogt
Located in Package: r-bioc-qvalue
67427.
GNU R abind multi-dimensional array combination function
 
Summary
Fonction abind de combinaison de tableaux multi-dimentionnels pour GNU[nbsp]R
Translated by Michael Vogt
Located in Package: r-cran-abind
67428.
This package provides the abind function, a generalization of the cbind and rbind function in the R base package. The abind function takes a sequence of vectors, matrices, or arrays and produces a single array of the same or higher dimension.
 
Description
Ce paquet fournit la fonction abind, une généralisation des fonctions cbind et rbind du paquet principal de R. La fonction abind prend en entrée une liste de vecteurs, matrices, ou tableaux et produit en sortie un seul tableau de dimension identique ou supérieure.
Translated by Michael Vogt
Located in Package: r-cran-abind
67429.
GNU R package supporting multiple imputation of missing data
 
Summary
(no translation yet)
Located in Package: r-cran-amelia
67430.
Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables.
 
Description
(no translation yet)
Located in Package: r-cran-amelia
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
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