Retrieving a DESCRIPTION or NAMESPACE file for any package version.
Comparing DESCRIPTION or NAMESPACE files between different package versions.
Suggests: remotes, withr, testthat (>= 3.0.0)
Packaged: 2021-08-10 18:22:01 UTC; maciejnasinski

Packaged: 2021-08-16 23:20:48 UTC; maciejnasinski

Checking a CRAN package check page status for any errors and warnings.
Packaged: 2021-09-05 19:24:41 UTC; maciejnasinski

Packaged: 2021-09-13 18:48:04 UTC; maciejnasinski

Packaged: 2022-02-13 14:07:55 UTC; maciejnasinski

Exploring a complexity of a specific package like evaluating its size in bytes with all dependencies.
The shiny app complexity could be explored too.
Suggests: remotes, withr, testthat (>= 3.0.0), knitr, rmarkdown
Packaged: 2022-02-20 11:31:21 UTC; maciejnasinski

Validating the library, packages and lock files.
Suggests: remotes, withr, pkgsearch, mockery, testthat (>= 3.0.0),
Imports: memoise, stringi, xml2, renv, jsonlite, curl
Packaged: 2022-03-03 19:51:25 UTC; maciejnasinski

Imports: curl, memoise, jsonlite, xml2, stringi
Suggests: remotes, renv, withr, pkgsearch, mockery, testthat (>=
Packaged: 2022-04-04 17:40:26 UTC; maciejnasinski

Suggests: nomnoml, remotes, renv, withr, pkgsearch, posterdown,
mockery, testthat (>= 3.0.0), knitr, rmarkdown
Packaged: 2022-05-10 18:41:14 UTC; maciejnasinski

Packaged: 2022-06-28 19:03:52 UTC; maciejnasinski

Title: Predictive Analysis of Clinical Trials
person("Jyothi", "Subramanian", email = "subramanianj01@gmail.com",
person("Richard", "Simon", email = "rsimon@mail.nih.gov", role = "aut"))
Description: 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.

Description: 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:
Imports: circlize, e1071, graphics, plotrix, stats, utils