R-Rcpp
Port variant standard
Summary Seamless R and C++ Integration
BROKEN
Package version 1.0.13
Homepage https://www.rcpp.org
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
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Last modified 18 JUL 2024, 21:45:29 UTC
Port created 14 APR 2020, 06:14:40 UTC
Subpackage Descriptions
single 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. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:standard
R:primary:standard
icu:dev:standard
Runtime (only) R:primary:standard
R:nls:standard
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
21fec650c113e57935fd86c7d1be190811f1ae036c1ee203bfbbf3ad5cdb22ce 3435344 CRAN/Rcpp_1.0.13.tar.gz
Ports that require R-Rcpp:standard
R-ModelMetrics:standard Rapid Calculation of Model Metrics
R-RcppArmadillo:standard Interface to Armadillo linear algebra library
R-RcppEigen:standard Tnterface to Eigen linear algebra library
R-RcppRoll:standard Efficient Rolling / Windowed Operations
R-anytime:standard Anything to 'POSIXct' or 'Date' Converter
R-bindrcpp:standard 'Rcpp' Interface to Active Bindings
R-collapse:standard Advanced and Fast Data Transformation
R-conquer:standard Convolution-Type Smoothed Quantile Regression
R-ddalpha:standard Depth-based classification and calculations
R-eddington:standard Compute a Cyclist's Eddington Number
R-forecast:standard Forecasting for time series and linear models
R-geometry:standard Mesh Generation and Surface Tessellation
R-ggforce:standard Accelerating 'ggplot2'
R-ggrepel:standard Positions non-overlapping text labels on gpplot2
R-glmnet:standard Generalized Linear Models for Lasso, etc
R-graphlayouts:standard Layout algorithms for network visualization
R-httpuv:standard HTTP and WebSocket Server Library
R-hunspell:standard Stemmer, tokenizer and spell checker
R-later:standard Event loop scheduling utilities
R-lhs:standard Latin Hypercube Samples
R-lme4:standard Linear Mixed-Effects Models using 'Eigen' and S4
R-minqa:standard Derivative-free optimation algorithms
R-odbc:standard DBI-compatible interface to ODBC databases
R-openxlsx:standard Read, Write and Edit xlsx Files
R-pROC:standard Display and Analyze ROC Curves
R-padr:standard Quickly Get Datetime Data Ready for Analysis
R-plyr:standard Tools for Splitting, Applying and Combining Data
R-prodlim:standard Censored event history analysis estimation
R-promises:standard Promise-based asynchronous programing abstracts
R-raster:standard Geographic Data Analysis and Modeling
R-reshape2:standard Second generation of data reshape package
R-s2:standard Spherical Geometry Operators from S2 library
R-sf:standard Simple Features for R
R-terra:standard Spatial Data Analysis
R-tokenizers:standard Fast tokenization of natural language text
R-units:standard Measurement Units for R Vectors