Functions to aid in micro and macro economic analysis and handling of price and
    currency data. Includes extraction of relevant inflation and exchange rate data from World Bank
    API, data cleaning/parsing, and standardisation. Inflation adjustment
    calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current
    and historical end of day exchange rates for 171 currencies from the European Central Bank
    Statistical Data Warehouse (2020).

An implementation of the van Westendorp Price
    Sensitivity Meter in R, which is a survey-based approach
	to analyze consumer price preferences and sensitivity
    (van Westendorp 1976, isbn:9789283100386).

Implementation of an oligonucleotide primer and probe design algorithm using a linearly scaling approximation of set coverage. A detailed description available at Smolander and Tamminen, 2021; <doi:10.1101/2021.09.06.459073>.

Implements 'PRIDIT' (Principal Component Analysis applied to 'RIDITs'), an
    unsupervised, nonparametric method for aggregating ordinal, categorical,
    and continuous indicators into a single interpretable composite score.
    Originally proposed by Brockett et al. (2002)
    <doi:10.1111/1539-6975.00027> for insurance fraud detection and
    extended to hospital quality measurement by Lieberthal (2008)
    <doi:10.1111/j.1475-6773.2007.00821.x> and Lieberthal and Comer (2013)
    <doi:10.1111/rmir.12009>.
    The package provides:
    (1) low-level functions ridit(), PRIDITweight(), and PRIDITscore();
    (2) a unified pridit() entry point returning a classed object with
        print, summary, 'autoplot', and 'coef' methods;
    (3) pridit_boot() for bootstrap confidence intervals on scores and weights;
    (4) a step_pridit() recipe step for out-of-sample scoring within the
        'tidymodels' framework; and
    (5) pridit_longitudinal() for panel data, computing cross-period
        stability of scores and weights.

Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.