Description: Functions for constructing simultaneous credible bands and identifying subsets via the "credible subsets" (also called "credible subgroups") method.

Description: Functions for constructing simultaneous credible bands and identifying subsets via the "credible subsets" (also called "credible subgroups") method. Package documentation includes the vignette included in this package, and the paper by Schnell, Fiecas, and Carlin (2020, <doi:10.18637/jss.v094.i07>).

Authors@R: c(person("Bertrand", "Le Nezet", role = c("cre","aut", "cph"), email = "bertrand.lenezet@gmail.com" ),
person("Richard", "Brent", role = c("ctb", "cph")),
person("John", "Burkardt", role = c("ctb", "cph")))
Maintainer: Bertrand Le Nezet <bertrand.lenezet@gmail.com>
Description: One function to bootstrap a credit curve from market quotes (Credit Default Swap spreads) and another function to price Credit Default Swaps from a credit curve.
Author: Bertrand Le Nezet [cre, aut, cph],

Description: It provides functions to bootstrap Credit Curves from market quotes (Credit Default Swap - CDS - spreads) and price Credit Default Swaps - CDS.

Authors@R: c(person("Bertrand", "Le Nezet", role = c("cre","ctb", "cph"), email = "bertrand.lenezet@gmail.com" ))
Author: Bertrand Le Nezet [cre, ctb, cph]

Title: Simple Conjoint Tidying, Analysis, and Visualization
Description: Simple tidying, analysis, and visualization of conjoint (factorial) experiments, including estimation and visualization of average marginal component effects ('AMCEs') and marginal means ('MMs') for weighted and un-weighted survey data, along with useful reference category diagnostics and statistical tests. Estimation of 'AMCEs' is based upon methods described by Hainmueller, Hopkins, and Yamamoto (2014) <doi:10.1093/pan/mpt024>.
Imports: stats, sandwich (>= 2.4-0), survey (>= 3.33), lmtest, ggplot2

person("Thomas J.", "Leeper", role = c("aut", "cre"),
person("Matthew", "Barnfield", role = "ctb",

Title: A Probabilistic Approach to Reconstruct Past Climates Using
Description: Applies the CREST climate reconstruction
method. It can be used using the calibration data that can be obtained
through the package or by importing private data. An ensemble of
graphical outputs were designed to facilitate the use of the
package and the interpretation of the results. More information can
Imports: clipr, DBI, methods, plyr, raster, rgdal, rgeos, RPostgres,
Suggests: knitr, openxlsx, plot3D, rmarkdown, pals
Author: Manuel Chevalier [aut, cre] (<https://orcid.org/0000-0002-8183-9881>)