An implementation of interpreted string literals, inspired by
    Python's Literal String Interpolation
    <https://www.python.org/dev/peps/pep-0498/> and Docstrings
    <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted
    String Literals
    <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.

crayon, DBI (>= 1.2.0), dplyr, knitr, magrittr, rlang,
rmarkdown, RSQLite, testthat (>= 3.2.0), vctrs (>= 0.3.0),
waldo (>= 0.5.3), withr

bench, forcats, ggbeeswarm, ggplot2, R.utils,
rprintf, tidyr, tidyverse/tidytemplate

Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>),
  Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>),
  Posit Software, PBC [cph, fnd]

Product-Limit Estimation for Censored Event History Analysis

Fast and user friendly implementation of nonparametric estimators
    for censored event history (survival) analysis. Kaplan-Meier and
    Aalen-Johansen method.

Rcpp (>= 0.11.5), stats, data.table, grDevices, graphics,
diagram, survival, KernSmooth, lava

c(
    person("Jim", "Hester", role = "aut"),
    person("Davis", "Vaughan", , "davis@posit.co", role = c("aut", "cre")),
    person("Drew", "Schmidt", role = "ctb",
           comment = "read_proc_file implementation"),
    person("Posit Software, PBC", role = c("cph", "fnd"))
  )

Tools to accurately benchmark and analyze execution times for
    R expressions.

covr, dplyr, forcats, ggbeeswarm, ggplot2, ggridges,
parallel, scales, testthat (>= 3.1.8), tidyr (>= 0.8.1), vctrs,
withr

Jim Hester [aut],
  Davis Vaughan [aut, cre],
  Drew Schmidt [ctb] (read_proc_file implementation),
  Posit Software, PBC [cph, fnd]

Efficient in-memory representation of multidimensional sparse
arrays

The SparseArray package is an infrastructure package that
	provides an array-like container for efficient in-memory representation
	of multidimensional sparse data in R. The package defines the
	SparseArray virtual class and two concrete subclasses: COO_SparseArray
	and SVT_SparseArray. Each subclass uses its own internal representation
	of the nonzero multidimensional data, the "COO layout" and the "SVT
	layout", respectively. SVT_SparseArray objects mimic as much as
	possible the behavior of ordinary matrix and array objects in base R.
	In particular, they suppport most of the "standard matrix and array API"
	defined in base R and in the matrixStats package from CRAN.