Create extra Analysis Results Data (ARD) summary objects.
    The package supplements the simple ARD functions from the 'cards'
    package, exporting functions to put statistical results in the ARD
    format. These objects are used and re-used to construct summary
    tables, visualizations, and written reports.

Implements the regression approach 
  of Zuber and Strimmer (2011) "High-dimensional regression and variable 
  selection using CAR scores" SAGMB 10: 34, <DOI:10.2202/1544-6115.1730>.
  CAR scores measure the correlation between the response and the 
  Mahalanobis-decorrelated  predictors.  The squared CAR score is a 
  natural measure of variable importance and provides a canonical 
  ordering of variables. This package provides functions for estimating 
  CAR scores, for variable selection using CAR scores, and for estimating 
  corresponding regression coefficients. Both shrinkage as well as 
  empirical estimators are available.

A simulation model and accompanying functions that support 
    assessing silvicultural concepts on the forest estate level with a focus on 
    the CO2 uptake by wood growth and CO2 emissions by forest operations. For 
    achieving this, a virtual forest estate area is split into the areas covered
    by typical phases of the silvicultural concept of interest. Given initial 
    area shares of these phases, the dynamics of these areas is simulated. The 
    typical carbon stocks and flows which are known for all phases are 
    attributed post-hoc to the areas and upscaled to the estate level. CO2 
    emissions by forest operations are estimated based on the amounts and 
    dimensions of the harvested timber. Probabilities of damage events are taken
    into account.

Provides API access to the Government of Canada Vehicle Recalls 
    Database <https://tc.api.canada.ca/en/detail?api=VRDB> used by the Defect 
    Investigations and Recalls Division for vehicles, tires, and child car 
    seats. The API wrapper provides access to recall summary information 
    searched using make, model, and year range, as well as detailed recall 
    information searched using recall number.