remotes, renv, withr, pkgsearch, mockery, testthat (>=
3.0.0), knitr, rmarkdown

nomnoml, remotes, renv, withr, pkgsearch, posterdown,
mockery, testthat (>= 3.0.0), knitr, rmarkdown

c(
person("Jyothi", "Subramanian", email = "subramanianj01@gmail.com",
role = c("aut","cre")),
person("Richard", "Simon", email = "rsimon@mail.nih.gov", role = "aut"))
A prediction-based approach to the analysis of data from
randomized clinical trials is implemented. Based on response and
covariate data from a randomized clinical trial comparing a new
experimental treatment E versus a control C, the objective is to
develop and internally validate a model that can identify subjects
likely to benefit from E rather than C. Currently,
survival and binary response types are permitted.
Jyothi Subramanian [aut, cre],
Richard Simon [aut]

person(given = "Spencer",
family = "Riley",
role = c("aut", "cre"),
email = "spencer.riley@student.nmt.edu")
Provides a broad-view perspective on data via
linear mapping of data onto a radial coordinate system. The package
contains functions to visualize the residual values of linear
regression and Cartesian data in the defined radial scheme. See the
'pacviz' documentation page for more information:
<https://spencerriley.me/pacviz/book/>.
circlize, e1071, graphics, plotrix, stats, utils

person(given = "Spencer",
family = "Riley",
role = c("aut", "cre"),
email = "academic@sriley.dev")
Provides a broad-view perspective on data via
linear mapping of data onto a radial coordinate system. The package
contains functions to visualize the residual values of linear
regression and Cartesian data in the defined radial scheme. See the
'pacviz' documentation page for more information:
<https://pacviz.sriley.dev/>.

Quickly Get Datetime Data Ready for Analysis
Transforms datetime data into a format ready for analysis. It offers two functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad). It also offers a few functions that assist with filling missing values after padding.
lubridate, ggplot2, testthat, knitr, rmarkdown, lazyeval,
dplyr, tidyr, data.table