Provides regularized structural equation modeling 
  (regularized SEM) with non-smooth penalty functions (e.g., lasso) building 
  on 'lavaan'. The package is heavily inspired by the 
  ['regsem'](<https://github.com/Rjacobucci/regsem>) and 
  ['lslx'](<https://github.com/psyphh/lslx>) packages.

Functions for vectorised conditional recoding of
    variables. case_when() enables you to vectorise multiple if and else
    statements (like 'CASE WHEN' in 'SQL'). if_else() is a stricter and
    more predictable version of ifelse() in 'base' that preserves
    attributes. These functions are forked from 'dplyr' with all package
    dependencies removed and behave identically to the originals.

Some simple objects and functions to do 
             statistics using linear models and a Bayesian framework.

Handling, processing, and analyzing geographic
    data on species' distributions and environmental variables. 
    Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.

Letter Values for the course Exploratory Data Analysis at Federal University of Bahia (Brazil). The approach implemented in the package is presented in the textbook of Tukey  (1977) <ISBN: 978-0201076165>.

Provides string similarity calculations inspired by the
    Python 'thefuzz' package. Compare strings by edit distance, similarity
    ratio, best matching substring, ordered token matching and set-based
    token matching. A range of edit distance measures are available thanks
    to the 'stringdist' package.

A collection of lexical hash tables, dictionaries, and word lists.

Provides easy access for sentiment lexicons for those who want to do text analysis in Portuguese texts.
    As of now, two Portuguese lexicons are available: 'SentiLex-PT02' and 'OpLexicon' (v2.1 and v3.0).

My PhD supervisor once told me that everyone doing newspaper
    analysis starts by writing code to read in files from the 'LexisNexis' newspaper
    archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner
    sites). However, while this is a nice exercise I do recommend, not everyone has
    the time. This package takes files downloaded from the newspaper archive of
    'LexisNexis', reads them into R and offers functions for further processing.