README.md
In PCMIP/Methods:
Methods
Implement pollen-climate models for benchmark testing.
Performs k-fold cross validation for a calibration pollen data set.
Methods implemented include:
Modern Analogue Technique
Weighted-Averaging
Current statistics used to assess model calibration quality are:
MSPE: Mean Squared Prediction Error
AME: Absolute Mean Error
CRPS: Continuous Ranked Probability Score
coverage: Empirical 95% coverage rate
PCMIP/Methods documentation built on May 30, 2019, 10:46 p.m.
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Methods
Implement pollen-climate models for benchmark testing.
Performs k-fold cross validation for a calibration pollen data set.
Methods implemented include: Modern Analogue Technique Weighted-Averaging
Current statistics used to assess model calibration quality are: MSPE: Mean Squared Prediction Error AME: Absolute Mean Error CRPS: Continuous Ranked Probability Score coverage: Empirical 95% coverage rate
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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