Title: Designing and Analyzing Two-Stage Randomized Experiments
Authors@R: c(person("Karissa", "Huang", email = "krhuang@berkeley.edu", role = c("aut")),
person("Zhichao", "Jiang", email = "zhichaojiang@umass.edu", role = c("aut")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut", "cre"))
Description: Provides various statistical methods for designing and analyzing two-stage randomized controlled
trials using the methods developed by Imai, Jiang, and Malani (2021) <doi:10.1080/01621459.2020.1775612> and
(2022+) <doi:10.48550/arXiv.2011.07677>.  The package enables the estimation of direct and spillover effects,
conduct hypotheses tests, and conduct sample size calculation for two-stage randomized controlled trials.
Packaged: 2022-10-18 03:04:05 UTC; kosukeimai

Title: Clustering Time Series While Resisting Outliers
Description: Robust Clustering of Time Series (RCTS) has the functionality to cluster time series using both the classical and the robust interactive fixed effects framework.
The classical framework is developed in Ando & Bai (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this package excludes the SCAD-penalty on the estimations of beta.
This robust framework is developed in Boudt & Heyndels (2022) <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different kinds of outliers.
The algorithm iteratively updates beta (the coefficients of the observable variables), group membership, and the latent factors (which can be common and/or group-specific) along
with their loadings. The number of groups and factors can be estimated if they are unknown.
Imports: stats, magrittr, dplyr, purrr, stringr, tidyr, tibble,
ggplot2, ncvreg, robustbase, cellWise, rlang, Rdpack
Suggests: tsqn, doParallel, doSNOW, foreach, mclust, Matrix
Author: Ewoud Heyndels [aut, cre] (<https://orcid.org/0000-0003-4540-8571>)

Title: Dose Rate Modelling of Carbonate-Rich Samples
Barbara Mauz [aut, cph] (<https://orcid.org/0000-0003-1504-333X>)
person("Sebastian", "Kreutzer", role = c("aut", "trl", "cre", "dtc"),
person("Roger P.", "Nathan", role = c("aut", "cph")),
person("Barbara", "Mauz", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-1504-333X")))
Description: Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate modelling for carbonate-rich samples in the context of trapped charged dating (e.g., luminescence dating) applications.
Imports: interp (>= 1.0), matrixStats (>= 0.50.0)
Suggests: testthat (>= 2.0), R.rsp (>= 0.42.0)