c(person("Lincoln", "Mullen",
role = c("aut", "cre"),
email = "lincoln@lincolnmullen.com"))
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.

c(
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")
)
A histogram slider input binding for use in 'Shiny'. Currently supports creating histograms from numeric, date, and 'date-time' vectors.
Carson Sievert [cre, aut] (<https://orcid.org/0000-0002-4958-2844>),
Samuel Hogg [ctb, cph] (Original author of histoslider React component)

Enhanced Command History Tracking for R Sessions and Dynamic
Documents
person("Gabriel", "Becker", role = c("aut", "cre"),
email = "becker.gabriel@gene.com")
Automatically tracks and makes programmatically available code
evaluation history in R sessions and dynamic documents.
'00first.R' 'allClasses.R' 'history.R' 'tracking.R' 'zzz.R'

'00first.R' 'allClasses.R' 'history.R' 'tracking.R' 'zzz.R'
'saveload.R' 'prov.R'

person("Gabriel", "Becker", role = c("aut", "cre"),
email = "gabembecker@gmail.com")

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

Hierarchical inference testing (HIT) for (generalized) linear
models with correlated covariates applicable to high-dimensional settings.
stats, parallel, Matrix, Rcpp (>= 0.11.0), glmnet, speedglm

stats, parallel, Rcpp (>= 0.11.0), glmnet, speedglm

Hierarchical inference testing (HIT) for (generalized) linear models with
correlated covariates applicable to high-dimensional settings.

person("Jonas", "Klasen", role = c("aut", "cre"), email = "qtcat@gmx.de")