Segmented Linear Integral Correlation Kernel Ensemble Reconstruction computer code and examples

Segmented Linear Integral Correlation Kernel Ensemble Reconstruction (SLICKER) is a numerical method to reconstruct a (typically climate) time-series from multiple proxy data-series. SLICKER allows for- Univariate or multivariate reconstructions - Uneven and different data-spacing between allow proxies and the reconstruction target- Different linear and non-linear relationships between the target and each proxy- Ensembles to allow for robust estimates of the central tendency, uncertainty in the central tendency, and spread of the reconstruction- Parallel execution is available via OpenMPSLICKER is written in FORTRAN, with wrappers for MATLAB, Python and R. A windows executable is also supplied for users without access to a FORTRAN compiler.This code is also available at https://github.com/jlr581/SLICKER