box.dot: Box density ordinate transform
In ClairBee/SX.weather: Functions to replicate & expand Sichun Xie MSc report on multi-model ensembkes in weather forecasting
Description
Usage
Arguments
Details
Value
View source: R/Performance-metrics.R
Description
Run Box density ordinate transform over multivariate normal model to assess calibration.
Usage
1
box.dot(o, mu, s)
Arguments
o
Vector of observations
mu
Vector of fitted means
s
Fitted covariance matrix
Details
Returns a centre-outward ordering: outliers tend to have low values, inliers tend to have high values. (Tells us nothing about direction of any bias, though)
Value
Ordinate-transformed value
ClairBee/SX.weather documentation built on May 6, 2019, 11:51 a.m.
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Description Usage Arguments Details Value
View source: R/Performance-metrics.R
Description
Run Box density ordinate transform over multivariate normal model to assess calibration.
Usage
1 | box.dot(o, mu, s)
|
Arguments
o |
Vector of observations |
mu |
Vector of fitted means |
s |
Fitted covariance matrix |
Details
Returns a centre-outward ordering: outliers tend to have low values, inliers tend to have high values. (Tells us nothing about direction of any bias, though)
Value
Ordinate-transformed value
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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