person("Dewey", "Dunnington", role = c("aut", "cre"),
email = "dewey@fishandwhistle.net")
ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), methods, tibble,
magrittr, stringr, readr, tidyr, lubridate, hms, rlang,
tidyselect
testthat, RSQLite, dbplyr, sf (>= 0.5.5), covr, tidyverse,
knitr, rmarkdown

Formatting and structuring multi-parameter spatiotemporal data
is often a time-consuming task. This package offers functions and data structures
designed to easily organize and visualize these data for applications in geology,
paleolimnology, dendrochronology, and paleoclimate. See Dunnington and Spooner (2018)
<doi:10.1139/facets-2017-0026>.
ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), tibble, magrittr,
stringr, readr, tidyr, lubridate, rlang, tidyselect
testthat, RSQLite, dbplyr, sf (>= 0.5.5), covr, knitr,
rmarkdown, hms

testthat, RSQLite, dbplyr, sf (>= 0.5.5), covr, knitr,
rmarkdown

ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), tibble, magrittr,
stringr, readr, tidyr, lubridate, rlang, tidyselect, withr, fs

person("Dewey", "Dunnington",
email = "dewey@fishandwhistle.net",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9415-4582")
)
Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>)

ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), tibble, magrittr,
stringr, readr, tidyr, lubridate, rlang, tidyselect, withr,
glue, fs
testthat (>= 2.1.0), RSQLite, dbplyr, sf (>= 0.5.5), covr,
hms, knitr, rmarkdown

testthat (>= 2.1.0), sf (>= 0.5.5), covr, hms, knitr,
rmarkdown

Dick Herrick, Hans-Georg Mueller, Dan Serachitopal, Liangcai Zhang, Kenneth R. Hess
Compute a density estimate from a vector of right-censored survival time using kernel functions.

A Nonparametric Model for Unfolding Scale Analysis
R (>= 3.3.3), gtools, zoo, ggplot2, reshape2, stats, utils
Nonparametric item response theory model fruitful for the analysis of proximity data.

c(person("Spyros", "Balafas", email = "s.balafas@rug.nl", role = c("aut", "cre")),person("Wim", "Krijnen", role = "aut"),person("Wendy", "Post", role = "ctr"),person("Ernst", "Wit", role = "aut"))
Nonparametric item response theory (IRT) model for nonmonotonic IRFs, which is fruitful for scale analysis of proximity items.
R (>= 3.3.3), yesno, gtools, zoo, ggplot2, reshape2, stats,
utils
Spyros Balafas [aut, cre],
Wim Krijnen [aut],
Wendy Post [ctr],
Ernst Wit [aut]