R-Rcpp
Port variant std
Summary Seamless R and C++ Integration
BROKEN
Package version 1.0.13.1
Homepage https://www.rcpp.org
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
Ravenports Buildsheet | History
Ravensource Port Directory | History
Last modified 09 NOV 2024, 17:03:26 UTC
Port created 15 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:std
R:primary:std
icu:dev:std
Runtime (only) R:primary:std
R:nls:std
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
1d1fc623d27082b5749f9584a9204de410134b6412a192157a3e42e2ba43969a 3435726 CRAN/Rcpp_1.0.13-1.tar.gz
Ports that require R-Rcpp:std
R-ModelMetrics:std Rapid Calculation of Model Metrics
R-RcppArmadillo:std Interface to Armadillo linear algebra library
R-RcppEigen:std Tnterface to Eigen linear algebra library
R-RcppRoll:std Efficient Rolling / Windowed Operations
R-anytime:std Anything to 'POSIXct' or 'Date' Converter
R-bindrcpp:std 'Rcpp' Interface to Active Bindings
R-collapse:std Advanced and Fast Data Transformation
R-conquer:std Convolution-Type Smoothed Quantile Regression
R-ddalpha:std Depth-based classification and calculations
R-eddington:std Compute a Cyclist's Eddington Number
R-forecast:std Forecasting for time series and linear models
R-geometry:std Mesh Generation and Surface Tessellation
R-ggforce:std Accelerating 'ggplot2'
R-ggrepel:std Positions non-overlapping text labels on gpplot2
R-glmnet:std Generalized Linear Models for Lasso, etc
R-graphlayouts:std Layout algorithms for network visualization
R-httpuv:std HTTP and WebSocket Server Library
R-hunspell:std Stemmer, tokenizer and spell checker
R-later:std Event loop scheduling utilities
R-lhs:std Latin Hypercube Samples
R-lme4:std Linear Mixed-Effects Models using 'Eigen' and S4
R-minqa:std Derivative-free optimation algorithms
R-odbc:std DBI-compatible interface to ODBC databases
R-openxlsx:std Read, Write and Edit xlsx Files
R-pROC:std Display and Analyze ROC Curves
R-padr:std Quickly Get Datetime Data Ready for Analysis
R-plyr:std Tools for Splitting, Applying and Combining Data
R-prodlim:std Censored event history analysis estimation
R-promises:std Promise-based asynchronous programing abstracts
R-raster:std Geographic Data Analysis and Modeling
R-reshape2:std Second generation of data reshape package
R-s2:std Spherical Geometry Operators from S2 library
R-sf:std Simple Features for R
R-terra:std Spatial Data Analysis
R-tokenizers:std Fast tokenization of natural language text
R-units:std Measurement Units for R Vectors