person( "Scott", "Sobel", email = "scott.sobel@oliverwyman.com", role = c("ctb") ),
person( "Rajesh", "Sahasrabuddhe", email = "rajesh.sahasrabuddhe@oliverwyman.com", role = c("ctb") )
readxl, rlang, XML, stringr, tibble, dplyr
Packaged: 2019-11-26 15:30:17 UTC; bryce.chamberlain

Packaged: 2020-01-30 14:53:53 UTC; bryce.chamberlain

readxl, rlang, XML, qs, stringr, tibble, dplyr
Packaged: 2020-03-20 16:42:38 UTC; bryce.chamberlain

Imports: data.table, digest, dplyr, foreign, glue, Hmisc, lubridate,
stringr, openssl, pdftools, qs, readxl, rlang, rprojroot, XML
Packaged: 2020-06-02 14:22:02 UTC; bryce.chamberlain

shorthand, type conversion, data wrangling, and work flow.
stringr, openssl, readxl, rlang, rprojroot, XML
Suggests: pdftools, qs, rstudioapi, testthat
Packaged: 2020-08-07 19:10:10 UTC; bryce.chamberlain

stringr, methods, openssl, readxl, readxlsb, rlang, rprojroot,
Suggests: pdftools, qs, rstudioapi, testthat (>= 3.0.0)
Packaged: 2022-10-27 17:29:30 UTC; bryce.chamberlain

Packaged: 2020-10-09 15:24:51 UTC; bryce.chamberlain

Packaged: 2021-03-24 17:19:53 UTC; bryce.chamberlain

Packaged: 2021-06-02 19:08:42 UTC; bryce.chamberlain

Packaged: 2022-01-11 19:51:37 UTC; bryce.chamberlain

Packaged: 2022-06-25 02:36:29 UTC; bryce.chamberlain

Description: Performs analysis of regression in simple designs with quantitative treatments,
including mixed models and non linear models. Plot graphics (equations and data).

including mixed models and non linear models.

Title: Clustering Perturbation Stability Analysis
Description: Clustering perturbation stability analysis toolkit
Author: Hoyt Koepke <hoytak@gmail.com>, Zongjun Hu
Depends: R(>= 2.11.1), graphics, fields, plotrix, grDevices,

Title: Framework for Easy Statistical Modeling, Visualization, and
Description: A meta-package that installs and loads a set of packages from
'easystats' ecosystem in a single step. This collection of packages provide
a unifying and consistent framework for statistical modeling, visualization,
and reporting. Additionally, it provides articles targeted at instructors for
teaching 'easystats', and a dashboard targeted at new R users for easily
conducting statistical analysis by accessing summary results, model fit indices,
and visualizations with minimal programming.
Imports: bayestestR (>= 0.12.1), correlation (>= 0.8.2), datawizard (>=
modelbased (>= 0.8.5), parameters (>= 0.18.2), performance (>=
Suggests: DT, flexdashboard, jsonlite, knitr, rmarkdown, rvest,
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>,