castels/interpTools: Tools for the Systematic Testing of Interpolation Algorithms

interpTools provides a framework for performing comprehensive analysis on the statistical performance of time series interpolators in a test-environment. The workflow involves the generation of artifical time series, simulation of MCAR observations subject to two key gap structure parameters ('proportion missing' and 'gap width'), application of interpolation algorithm candidates, and subsequent computation of a set of performance metrics. Tools for both singular and comparative data visualization allows practitioners to elucidate the most suitable algorithm for similarly-structured datasets in practice, especially in the context of a changing gap structure.

install.packages("remotes")
remotes::install_github("castels/interpTools")