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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