Feature selection algorithm that extracts features in highly
    correlated spaces. The extracted features are meant to be fed into
    simple explainable models such as linear or logistic regressions. The
    package is useful in the field of explainable modelling as a
    way to understand variable behavior.

Provides an extensible formula system to quickly and easily create
    production quality tables. The processing steps are a formula parser,
    statistical content generation from data as defined by formula, followed by
    rendering into a table. Each step of the processing is separate and user
    definable thus creating a set of composable building blocks for
    highly customizable table generation. A user is not limited by any of the 
    choices of the package creator other than the formula grammar. For example,
    one could chose to add a different S3 rendering function and output a format
    not provided in the default package, or possibly one would rather have Gini
    coefficients for their statistical content in a resulting table. Routines to
    achieve New England Journal of Medicine style, Lancet style and
    Hmisc::summaryM() statistics are provided. The package contains rendering
    for HTML5, Rmarkdown and an indexing format for use in tracing and tracking
    are provided.

Builds tables with customizable rows. Users can specify the type
             of data to use for each row, as well as how to handle missing
             data and the types of comparison tests to run on the table
             columns.

Implementation of functions for fitting taper curves (a semiparametric 
  linear mixed effects taper model) to diameter measurements along stems. Further 
  functions are provided to estimate the uncertainty around the predicted curves, 
  to calculate timber volume (also by sections) and marginal (e.g., upper) diameters. 
  For cases where tree heights are not measured, methods for estimating
  additional variance in volume predictions resulting from uncertainties in
  tree height models (tariffs) are provided.  The example data include the taper 
  curve parameters for Norway spruce used in the 3rd German NFI fitted to 380 trees 
  and a subset of section-wise diameter measurements of these trees. The functions 
  implemented here are detailed in Kublin, E., Breidenbach, J., Kaendler, G. (2013)
  <doi:10.1007/s10342-013-0715-0>.