Rcpp, RcppArmadillo, RcppProgress, splines2 (>= 0.4.4)

Rcpp, RcppArmadillo (>= 0.10.7.5.0), RcppProgress, splines2
(>= 0.4.4)

Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <arXiv:2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <arXiv:1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.

An alternative display for profiling information
profr provides an alternative data structure and visual rendering for the profiling information generated by Rprof.

profr provides an alternative data structure and visual
rendering for the profiling information generated by Rprof.

profr provides an alternative data structure
and visual rendering for the profiling information
generated by Rprof.

An Alternative Display for Profiling Information
An alternative data structure and visual rendering
for the profiling information generated by Rprof.

Tools for examining Rprof profile output.

Interactive Visualizations for Profiling R Code
c(
person("Winston", "Chang", email = "winston@rstudio.com", role = c("aut", "cre")),
person("Javier", "Luraschi", email = "javier@rstudio.com", role = "aut"),
person(family = "RStudio", role = "cph"),
person(family = "jQuery Foundation", role = "cph", comment = "jQuery library"),
person(family = "jQuery contributors", role = c("ctb", "cph"), comment = "jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt"),
person("Mike", "Bostock", role = c("ctb", "cph"), comment = "D3 library"),
person(family = "D3 contributors", role = "ctb", comment = "D3 library"),
person("Ivan", "Sagalaev", role = c("ctb", "cph"), comment = "highlight.js library")
)
Interactive visualizations for profiling R code.
Winston Chang [aut, cre],
Javier Luraschi [aut],
RStudio [cph],
jQuery Foundation [cph] (jQuery library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/www/shared/jquery-AUTHORS.txt),
Mike Bostock [ctb, cph] (D3 library),
D3 contributors [ctb] (D3 library),
Ivan Sagalaev [ctb, cph] (highlight.js library)