mlevcm-package: 'mlevcm': ML-based Epidemiological Vector Control Monitoring...

In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data

Description

The mlevcm package provides functions to train and test machine learning models capable of predicting characteristics of epidemiological interest of disease vectors (e.g., mosquitoes) such as age, species and infectiousness from near-infrared spectra.

References

P.M. Esperança, Thomas S. Churcher (2019). "Machine learning based epidemiological vector control monitoring using functional data analysis techniques for near-infrared spectral data". arXiv.

P.T. Reiss, R.T. Ogden (2007). "Functional Principal Component Regression and Functional Partial Least Squares". Journal of the American Statistical Association, 102(479), 984-996

pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.