Modélisation non linéaire avec les Generalized Additive Models (GAM) en R
Noam Ross
Senior Research Scientist, EcoHealth Alliance



concurvity(m1, full = TRUE)
para s(X1) s(X2)
pire 0 0.84 0.84
observé 0 0.22 0.57
estimé 0 0.28 0.60
concurvity(model, full = FALSE)
$pire
para s(X1) s(X2)
para 1 0.00 0.00
s(X1) 0 1.00 0.84
s(X2) 0 0.84 1.00
$observé | $estimé
para s(X1) s(X2) | para s(X1) s(X2)
para 1 0.00 0.00 | para 1 0.00 0.0
s(X1) 0 1.00 0.57 | s(X1) 0 1.00 0.6
s(X2) 0 0.22 1.00 | s(X2) 0 0.28 1.0
Modélisation non linéaire avec les Generalized Additive Models (GAM) en R