Joint Distribution of Number of Crossings and Longest Run
c(person("Tore","Wentzel-Larsen",email="tore.wentzellarsen@gmail.com",role=c("aut","cre")),
person("Jacob", "Anhøj", email="jacob@anhoej.net", role="aut"))
Joint distribution of number of crossings and the
longest run in a series of independent Bernoulli trials. The
computations uses an iterative procedure where computations
are based on results from shorter series. The procedure
conditions on the start value and partitions by further
conditioning on the position of the first crossing (or none).
Tore Wentzel-Larsen [aut, cre],
Jacob Anhøj [aut]

c(person(given = "Dan",
family = "Chaltiel",
role = c("aut", "cre"),
email = "dan.chaltiel@gmail.com",
comment = c(ORCID = "0000-0003-3488-779X")),
person(given = "David",
family = "Hajage",
role = "ccp"))
Create descriptive tables for continuous and categorical variables.
Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'.
You can also compute statistical tests and effect sizes if needed.
checkmate, dplyr (>= 1.0.0), ellipsis, flextable (>= 0.5.8),
forcats, glue, lifecycle, nortest, officer, purrr, rlang (>=
0.4.7), stats, stringr, survival, tibble, tidyr, tidyselect
covr, crayon, xml2, DescTools, digest, gt, expss, ggplot2,
gmodels, Hmisc, jsonlite, knitr, openxlsx, rmarkdown, sloop,
stringi, systemfonts, testthat, withr, waldo,
Dan Chaltiel [aut, cre] (<https://orcid.org/0000-0003-3488-779X>),
David Hajage [ccp]

checkmate, dplyr (>= 1.0.0), ellipsis, flextable (>= 0.5.8),
forcats, glue, lifecycle, officer, purrr, rlang (>= 0.4.7),
stats, stringr, survival, tibble, tidyr, tidyselect
covr, crayon, xml2, digest, gt, expss, ggplot2, gmodels,
Hmisc, jsonlite, knitr, openxlsx, rmarkdown, sloop, stringi,
systemfonts, testthat, withr, waldo,

checkmate, dplyr (>= 1.0.0), flextable (>= 0.5.8), forcats,
glue, lifecycle, officer, purrr, rlang (>= 0.4.7), stats,
stringr, survival, tibble, tidyr, tidyselect