paleolimnology, dendrochronology, and paleoclimate. See Dunnington and Spooner (2018)
Imports: ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), tibble, magrittr,
stringr, readr, tidyr, lubridate, rlang, tidyselect
Suggests: testthat, RSQLite, dbplyr, sf (>= 0.5.5), covr, knitr,

stringr, readr, tidyr, lubridate, rlang, tidyselect, withr, fs

Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>)

stringr, readr, tidyr, lubridate, rlang, tidyselect, withr,
Suggests: testthat (>= 2.1.0), RSQLite, dbplyr, sf (>= 0.5.5), covr,

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

Author: Dick Herrick, Hans-Georg Mueller, Dan Serachitopal, Liangcai Zhang, Kenneth R. Hess
Description: Compute a density estimate from a vector of right-censored survival time using kernel functions.
Maintainer: Kenneth R. Hess <khess@mdanderson.org>

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

Authors@R: 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"))
Description: Nonparametric item response theory (IRT) model for nonmonotonic IRFs, which is fruitful for scale analysis of proximity items.
Depends: R (>= 3.3.3), yesno, gtools, zoo, ggplot2, reshape2, stats,

Authors@R: c(person("Spyros", "Balafas", email = "s.balafas@rug.nl", role = c("aut", "cre")),person("Wim", "Krijnen", role = "aut"),person("Wendy", "Post", role = "ctb"),person("Ernst", "Wit", role = "aut"))
Description: Nonparametric unfolding item response theory (IRT) model for dichotomous data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists, and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure Approach). The package implements MUDFOLD (Multiple UniDimensional unFOLDing), an iterative item selection algorithm that constructs unfolding scales from dichotomous preferential-choice data without explicitly assuming a parametric form of the item response functions. Scale diagnostics from Post(1992) and estimates for the person locations proposed by Johnson(2006) and Van Schuur(1984) are also available. This model can be seen as the unfolding variant of Mokken(1971) scaling method.
Imports: gtools, boot, zoo, ggplot2, reshape2, stats, utils