Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, <doi:10.1108/S0731-9053(2013)0000031008>). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, <doi:10.1016/S0304-405X(01)00055-1>).

Provides data about the 'Star Wars' movie franchise in a set
    of relational tables or as a complete 'DuckDB' database. All data was
    collected from the open source 'Star Wars' API.

An interactive document on  the topic of basic statistical analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.

Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). 
    The package also includes data for the first edition, Stat2: Building Models for a World of Data
    and a few functions for plotting diagnostics.

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

A set of tools inspired by 'Stata' to explore data.frames ('summarize',
    'tabulate', 'xtile', 'pctile', 'binscatter', elapsed quarters/month, lead/lag).

Basic statistical methods with some modifications for the course Statistical Methods at Federal University of Bahia (Brazil). All methods in this packages are explained in the text book of Montgomery and Runger (2010) <ISBN: 978-1-119-74635-5>.

A "spellchecker" for statistics. It checks whether your
    p-values match their accompanying test statistic and degrees of
    freedom. statcheck searches for null-hypothesis significance test
    (NHST) in APA style (e.g., t(28) = 2.2, p < .05). It recalculates the
    p-value using the reported test statistic and degrees of freedom. If
    the reported and computed p-values don't match, statcheck will flag
    the result as an error. If the reported p-value is statistically
    significant and the recomputed one is not, or vice versa, the result
    will be flagged as a decision error.  You can use statcheck directly
    on a string of text, but you can also scan a PDF or HTML file, or even
    a folder of PDF and/or HTML files.  Statcheck needs an external
    program to convert PDF to text: Xpdf. Instructions on where and how to
    download this program, how to install statcheck, and more details on
    what statcheck can and cannot do can be found in the online manual:
    <https://rpubs.com/michelenuijten/statcheckmanual>.  You can find a
    point-and-click web interface to scan PDF or HTML or DOCX articles on
    <http://statcheck.io>.