stEval: Basic evaluation of fit
In telefit: Estimation and Prediction for Remote Effects Spatial Process Models
Description
Usage
Arguments
Examples
Description
Provides basic measures for evalutating the fit. Includes Brier skill score
against the climatology, MSPE, PPL, overall correlation, and a computation
of the coverage probabilities for confidence intervals
Usage
1
stEval(forecast, Y, clim)
Arguments
forecast
stPredict object containing predictions for Y
Y
observed values of the response
clim
the climatology for the location in Y
Examples
1
2
3
4
5
data("coprecip")
data("coprecip.predict")
clim = rowMeans(coprecip$Y)
coprecip.predict = stEval(coprecip.predict, coprecip$Y, clim)
telefit documentation built on Feb. 4, 2020, 9:08 a.m.
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Description Usage Arguments Examples
Description
Provides basic measures for evalutating the fit. Includes Brier skill score against the climatology, MSPE, PPL, overall correlation, and a computation of the coverage probabilities for confidence intervals
Usage
1 | stEval(forecast, Y, clim)
|
Arguments
forecast |
stPredict object containing predictions for Y |
Y |
observed values of the response |
clim |
the climatology for the location in Y |
Examples
1 2 3 4 5 | data("coprecip")
data("coprecip.predict")
clim = rowMeans(coprecip$Y)
coprecip.predict = stEval(coprecip.predict, coprecip$Y, clim)
|
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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