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khliland
pls:Partial Least Squares and Principal Component Regression
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
Maintained by Kristian Hovde Liland. Last updated 2 months ago.
37 stars 13.60 score 3.2k scripts 85 dependents
l-ramirez-lopez
prospectr:Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Maintained by Leonardo Ramirez-Lopez. Last updated 17 days ago.
chemometricsderivativesinfrarednear-infrarednirpedometricspreprocessingresamplesamplingsignalsoil-spectroscopyspectroscopyopenblascppopenmp
42 stars 10.22 score 326 scripts 4 dependents
mathiasambuehl
cna:Causal Modeling with Coincidence Analysis
Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.
Maintained by Mathias Ambuehl. Last updated 9 months ago.
1 stars 4.78 score 45 scripts 3 dependents