This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. 
             Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Settings and functions to extend the 'knitr' 'SAS' engine.

Data sets and sample lmer analyses corresponding
  to the examples in Littell, Milliken, Stroup and Wolfinger
  (1996), "SAS System for Mixed Models", SAS Institute.

Provides a 'SAS' interface, through
    'SASPy'(<https://sassoftware.github.io/saspy/>) and
    'reticulate'(<https://rstudio.github.io/reticulate/>).  This package
    helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS'
    servers, retrieve execution results and log, and exchange datasets
    between 'SAS' and 'R'.  It also helps you to install 'SASPy' and
    create a configuration file for the connection. Please review the
    'SASPy' license file as instructed so that you comply with its
    separate and independent license.

An 'SCSS' compiler, powered by the 'LibSass' library. With this,
    R developers can use variables, inheritance, and functions to generate
    dynamic style sheets. The package uses the 'Sass CSS' extension language,
    which is stable, powerful, and CSS compatible.

A meta-package that aims to make 'R' easier for everyone, 
    especially programmers who have a background in 'SAS®' software.
    This set of packages brings many useful concepts to 'R', including
    data libraries, data dictionaries, formats 
    and format catalogs, a data step, and a traceable log.  The system
    also includes a package that replicates several commonly-used 'SAS®' procedures,
    like 'PROC FREQ', 'PROC MEANS', and 'PROC REG'.

Tools for analyzing tail dependence in any sample or in particular theoretical models.  The package uses only theoretical and non parametric methods, without inference.  The primary goals of the package are to provide: (a)symmetric multivariate extreme value models in any dimension;  theoretical and empirical indices to order tail dependence;  theoretical and empirical graphical methods to visualize tail dependence.