R-universe search: topic:c-plus-plus-11

Showing 6 of total 6 results (show query)

rcppcore

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.

Maintained by Dirk Eddelbuettel. Last updated 22 hours ago.

c-plus-plus c-plus-plus-11 c-plus-plus-14 c-plus-plus-17 c-plus-plus-20 rcpp cpp

755 stars 22.63 score 11k scripts 13k dependents

eddelbuettel

anytime:Anything to 'POSIXct' or 'Date' Converter

Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.

Maintained by Dirk Eddelbuettel. Last updated 20 days ago.

boost c-plus-plus-11 conversions cpp11 date datetime posixct rcpp cpp

165 stars 13.91 score 1.4k scripts 99 dependents

eddelbuettel

RcppTOML:'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language"

The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://toml.io/en/>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect to the 'toml++' parser written by Mark Gillard to R.

Maintained by Dirk Eddelbuettel. Last updated 24 days ago.

c-plus-plus-11 toml toml-parser toml-parsing cpp

36 stars 12.32 score 124 scripts 433 dependents

twolodzko

extraDistr:Additional Univariate and Multivariate Distributions

Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.

Maintained by Tymoteusz Wolodzko. Last updated 27 days ago.

c-plus-plus c-plus-plus-11 distribution multivariate-distributions probability random-generation rcpp statistics cpp

53 stars 11.60 score 1.5k scripts 107 dependents

eddelbuettel

RcppCCTZ:'Rcpp' Bindings for the 'CCTZ' Library

'Rcpp' Access to the 'CCTZ' timezone library is provided. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License, is included in this package. See <https://github.com/google/cctz> for more details.

Maintained by Dirk Eddelbuettel. Last updated 22 days ago.

c-plus-plus-11 cctz datetime datetimes rcpp timezone timezones cpp

22 stars 8.21 score 17 scripts 18 dependents

virgesmith

humanleague:Synthetic Population Generator

Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) <doi:10.18564/jasss.3550>). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) <doi:10.13140/2.1.2480.9923>).

Maintained by Andrew Smith. Last updated 5 months ago.

c-plus-plus-11 microsynthesis nodejs python3 quasirandom sampling-methods cpp

18 stars 4.81 score 12 scripts