Python port of the sensR package for sensory discrimination and thurstonian modeling. Statistical methods for difference testing, signal detection, and sensory analysis.
FactoMineR-compatible multivariate exploratory data analysis in pure Python: PCA, CA, MCA, FAMD, MFA/HMFA/DMFA, GPA, HCPC, CaGalt, regression (LinearModel/AovSum/RegBest), textual, predict/reconst/…
FactoMineR-compatible multivariate exploratory data analysis in pure Python: PCA, CA, MCA, FAMD, MFA/HMFA/DMFA, GPA, HCPC, CaGalt, regression (LinearModel/AovSum/RegBest), textual, predict/reconst/estim_ncp, dimdesc/catdes/condes — numerically parity-verified against R FactoMineR 2.14.
Python port of the sensR package for sensory discrimination and thurstonian modeling. Statistical methods for difference testing, signal detection, and sensory analysis.
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