Title: Longitudinal Bayesian Historical Borrowing Models
a longitudinal hierarchical model to borrow historical
the amount of borrowing through longitudinal benchmark models (independent
and pooled). The hierarchical model approach to historical borrowing
is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Imports: clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior,
Rcpp, RcppParallel, rlang, rstan, rstantools, stats, tibble,
tidyr, tidyselect, trialr, utils, withr, zoo
LinkingTo: BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

Description: These sample data sets are intended for historians
learning R. They include population, institutional, religious,
military, and prosopographical data suitable for mapping,
quantitative analysis, and network analysis.

Title: A Histogram Slider Input for 'Shiny'
person("Carson", "Sievert", role = c("cre", "aut"), email = "cpsievert1@gmail.com", comment = c(ORCID = "0000-0002-4958-2844")),
person("Samuel", "Hogg", role = c("ctb", "cph"), comment = "Original author of histoslider React component")
Description: A histogram slider input binding for use in 'Shiny'. Currently supports creating histograms from numeric, date, and 'date-time' vectors.
Imports: rlang, htmltools, reactR, shiny
Packaged: 2022-11-18 16:47:15 UTC; cpsievert
Samuel Hogg [ctb, cph] (Original author of histoslider React component)

Title: Enhanced Command History Tracking for R Sessions and Dynamic
Authors@R: person("Gabriel", "Becker", role = c("aut", "cre"),
Description: Automatically tracks and makes programmatically available code
evaluation history in R sessions and dynamic documents.
Suggests: CodeDepends, rmarkdown, knitr, trackr
Collate: '00first.R' 'allClasses.R' 'history.R' 'tracking.R' 'zzz.R'

Suggests: CodeDepends, rmarkdown, trackr, knitr

Imports: fastdigest, evaluate, roprov, CodeDepends

Description: Hierarchical inference testing (HIT) for linear models with
correlated covariates applicable to high-dimensional settings.
Authors@R: person("Jonas", "Klasen", role = c("aut", "cre"),
Imports: stats, parallel, Rcpp (>= 0.11.0), glmnet