Description: An interface to the Bayesian Weighted Sums model implemented in 'RStan'.
It estimates the summed effect of multiple, often moderately to highly correlated,
continuous predictors. Its applications can be found in analysis of exposure mixtures.
The model was proposed by Hamra, Maclehose, Croen, Kauffman, and
This implementation includes an extension to model binary outcome.
Author: Phuc H. Nguyen [aut, cre] (<https://orcid.org/0000-0002-6206-0194>)
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran@gmail.com>

Title: Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
Authors@R: person(given = "Mark", family = "White", email = "markhwhiteii@gmail.com",
Description: Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and
to analyze data from these designs, using aggregate and individual methods such as: difference
scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>;
analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical
Imports: crossdes, dplyr, igraph, magrittr, rlang, tidyr

Imports: crossdes, dplyr, igraph, magrittr, rlang, tidyr, ggplot2

Packaged: 2020-06-10 19:48:17 UTC; markiiwhite

Packaged: 2020-08-26 15:40:05 UTC; markwhite

Title: Nonparametric conditional survival function for successive
Author: C. Serrat, G. G�mez, M.V. Moneta
Maintainer: Maria Victoria Moneta <mvictoria.moneta@pssjd.org>
Description: This R package implements the conditional survival
function described at 'Nonparametric bivariate estimation for
successive survival times' (C. Serrat and G. G�mez, 2007).

Maintainer: Victoria Moneta <mvictoria.moneta@pssjd.org> and Carles
Description: This R package implements the conditional survival function described at 'Nonparametric bivariate estimation              for successive survival times' (C. Serrat and G. G�mez, 2007).

Title: Get, Download, and Read City Bike Data from Norway
Description: Functions to get, download, and read open data from each City Bike
website, and each City Bike API, in Norway that is made available under the
NLOD 2.0 <https://data.norge.no/nlod/en/2.0>. These functions speed up the
process of reading city bike data directly to R, and to download the data
to disk, so that the user can focus on data analysis. The data is
retrieved from the "developer" or "open data" pages of
Bergen City Bike <https://bergenbysykkel.no/en/open-data>, and
Authors@R: person("Iman", "Ghayoornia", email = "ghayoornia.iman@gmail.com",
Imports: data.table, glue (>= 1.3.0), httr, jsonlite, magrittr, tibble
Packaged: 2019-03-27 22:00:18 UTC; Iman Ghayoornia