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.

Inspect survival data, plot Kaplan-Meier curves, assess the
    proportional hazards assumption, fit parametric survival models,
    predict and plot survival and hazards, and export the outputs to
    'Excel'.  A simple interface for fitting survival models using 
    flexsurv::flexsurvreg(), flexsurv::flexsurvspline(), 
    flexsurvcure::flexsurvcure(), and survival::survreg().

This SVG elements generator can easily generate 
    SVG elements such as rect, line, circle, ellipse, polygon, 
    polyline, text and group. Also, it can combine and 
    output SVG elements into a SVG file.

Create publication-ready regression tables in multiple
    formats, including 'Word', 'HTML', 'LaTeX', and 'PDF', from
    statistical models. Supports lm() and glm() models. Includes options for
    marginal effects, control variable grouping, and robust standard errors
    using methods described in Zeileis (2004)
    <doi:10.18637/jss.v011.i10>. Tables can be exported to 'Word' via
    'flextable' or to 'LaTeX' for 'PDF' output.

Set of tools to simplify application of atomic forecast
    verification metrics for (comparative) verification of ensemble forecasts
    to large data sets. The forecast metrics are imported from the
    'SpecsVerification' package, and additional forecast metrics are provided
    with this package. Alternatively, new user-defined forecast scores can be
    implemented using the example scores provided and applied using the
    functionality of this package.