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.

When taking online surveys, participants sometimes respond to items
    without regard to their content. These types of responses, referred to as 
    careless or insufficient effort responding, constitute significant problems 
    for data quality, leading to distortions in data analysis and hypothesis 
    testing, such as spurious correlations. The 'R' package 'careless' provides 
    solutions designed to detect such careless / insufficient effort responses 
    by allowing easy calculation of indices proposed in the literature. It 
    currently supports the calculation of longstring, even-odd consistency, 
    psychometric synonyms/antonyms, Mahalanobis distance, and intra-individual 
    response variability (also termed inter-item standard deviation). 
    For a review of these methods, see Curran (2016) <doi:10.1016/j.jesp.2015.07.006>.

Performs a Correspondence Analysis (CA) on a contingency table and creates a scatterplot of the row and column points on the selected dimensions. Optionally, the function can add segments to the plot to visualize significant associations between row and column categories on the basis of positive (unadjusted) standardized residuals larger than a given threshold.

Misc functions for training and plotting classification and
    regression models.

Functions for creating ensembles of caret models: caretList()
    and caretStack(). caretList() is a convenience function for fitting multiple
    caret::train() models to the same dataset. caretStack() will make linear or
    non-linear combinations of these models, using a caret::train() model as a
    meta-model.