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Table 2 The comparison of LRM and GAM models with respect to local P. vivax infections

From: Risk assessment of malaria transmission at the border area of China and Myanmar

Model

linear

df

NUM

AIC

BIC

MSE

R/squ

Deviance explain %

LRM-1

Y

9.00

8

208.22

231.30

0.43

0.34

33.80

GAM-1

N

18.31

8

197.84

244.80

0.31

0.45

45.30

LRM-2

Y

6.00

5

211.53

226.92

0.47

0.29

29.40

GAM-2

N

10.02

5

206.57

232.26

0.41

0.36

35.50

  1. df residual degrees-of-freedom, NUM the number of parameters in the model, AIC Akaike information criterion, BIC Bayesian information criterion, MSE Mean squared error, R/squ the coefficient of determination R 2