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We can observe that our models perform the best in BOW group.
Our study reveals that highly parameterized geostatistical models perform the best among the models compared, while the zonation model with excellent knowledge of stratigraphy also yields comparable results.
Figure 5 shows that the forecast of the EAST ∗EEPAS model outperforms the forecast of the EAST R+EEPAS model, especially for the smallest τRI value, for which both the EAST and EEPAS models perform the best.
Additional file 1: R scripts used to construct the models, perform the simulations and generate the figures.
A lack of definitive evidence on which models perform the best in various situations led to this comprehensive simulation study to examine the performance of all six commonly used models with continuous outcomes.
All the scripts used to construct the models, perform the simulations and generate the figures are distributed in supplementary information (Additional file 1) under an open source license to ensure reproducibility and reusability.
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NK formulated the models, performed the analysis and helped draft the manuscript.
ML developed the discrete even simulation models, performed the data analysis and drafted the manuscript.
IEE-L developed the methods, reconstructed the two genome-scale metabolic models, performed the simulations and drafted the manuscript.
CT assisted in formulating the models, performed the simulations, assisted with the analysis, and drafted the manuscript.
Among different models, the GPT2w and the modified Saastamoinen model perform the best.
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