Skip to Content

plsRglm

Partial least squares Regression for generalized linear models
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>.
GPL-3
This package provides Partial least squares Regression for (weighted) generalized linear models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.
Versions
Package Version Released
plsRglm 0.8.2 1 year 42 weeks ago
plsRglm 0.7.9 2 years 22 weeks ago
plsRglm 0.7.6 3 years 9 weeks ago
plsRglm 0.7.4 3 years 42 weeks ago
plsRglm 0.7.2 3 years 42 weeks ago
plsRglm 0.7.0 3 years 44 weeks ago
plsRglm 0.6.5 4 years 2 weeks ago
plsRglm 0.6.3 4 years 3 weeks ago
plsRglm 0.5.0 4 years 7 weeks ago
plsRglm 0.3.3 4 years 16 weeks ago
0
Your rating: None
0
Your rating: None