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CRAN - Package neuroim

neuroim: Data Structures and Handling for Neuroimaging Data. A collection of data structures that represent volumetric brain imaging data. The focus is on basic data …

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CRAN - Package Rcpp

Rcpp: Seamless R and C++ Integration. The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries.

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CRAN - Package nonbinROC

Package ‘nonbinROC’ was removed from the CRAN repository. Formerly available versions can be obtained from the archive.archive.

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CRAN - Package nsprcomp

nsprcomp: Non-Negative and Sparse PCA. Two methods for performing a constrained principal component analysis (PCA), where non-negativity and/or sparsity constraints are enforced on …

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CRAN - Package covr

Version: 3.1.0: Depends: R (≥ 3.1.0), methods: Imports: digest, stats, utils, jsonlite, rex, httr, crayon, withr (≥ 1.0.2): Suggests: R6, knitr, rmarkdown, shiny ...

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GitHub - cran/varcompci: VARCOMPCI: A Package for ...

Join GitHub today. GitHub is home to over 28 million developers working together to host and review code, manage projects, and build software together.

publications - CRAM

The following list of publications describes parts of the CRAM system or experimental systems that have been realized using CRAM. If you would like to contribute a publication, please contact the …

R: Download Packages from CRAN-like repositories

Download Packages from CRAN-like repositories Description. These functions can be used to automatically compare the version numbers of installed packages with the newest available version on the repositories and update outdated packages on the fly.

Installing the pbnm Package - SSCC - Home

The pbnm package is an R package which contains functions to perform a parametric bootstrap. The package supports bootstraps on the coefficients from models …

CRAN - Package gbm - University of Auckland

This package implements extensions to Freund and Schapire's AdaBoost algorithm and J. Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, logistic, Poisson, Cox proportional hazards partial likelihood, and AdaBoost exponential loss.