calc_eig: Calculator for eigenvalues
In chikuang/evalRTPF: Evaluate the discrepancy between two Real-Time updated Probabilistic Forecasts
calc_eig R Documentation
Calculator for eigenvalues
Description
calc_eig() returns TBA
Usage
calc_eig(df, n_eig = 10, ngame, nsamp, grid = "grid", cent = FALSE)
Arguments
df
A data frame that contains at least two columns, difference and the grid.
n_eig
Number of leading eigenvalues to use
ngame
Number of different instance
nsamp
Number of sample points in the time domain
grid
Name of the grid in the data frame
cent
Whether to center the difference in probabilistic forecasts or not
Value
The leading n_eig eigenvalues of the covariance matrix to be used in the Delta test.
chikuang/evalRTPF documentation built on May 18, 2024, 8:19 a.m.
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| calc_eig | R Documentation |
Calculator for eigenvalues
Description
calc_eig() returns TBA
Usage
calc_eig(df, n_eig = 10, ngame, nsamp, grid = "grid", cent = FALSE)
Arguments
df |
A data frame that contains at least two columns, difference and the grid. |
n_eig |
Number of leading eigenvalues to use |
ngame |
Number of different instance |
nsamp |
Number of sample points in the time domain |
grid |
Name of the grid in the data frame |
cent |
Whether to center the difference in probabilistic forecasts or not |
Value
The leading n_eig eigenvalues of the covariance matrix to be used in the Delta test.
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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