rmsd: Calculate Root Mean Square Deviation (RMSD) (or Root Mean...
In irt: Item Response Theory and Computerized Adaptive Testing Functions
rmsd R Documentation
Calculate Root Mean Square Deviation (RMSD)
(or Root Mean Square Error (RMSE))
Description
The formula for RMSD is:
RMSD = \sqrt{\frac{\sum_{i = 1}^n(\hat \theta - \theta)^2}{n}}
Usage
rmsd(est, true)
Arguments
est
A numeric vector of estimated values
true
A numeric vector of true values
Value
A number representing RMSD.
Author(s)
Emre Gonulates
Examples
true <- rnorm(10)
est <- true + runif(10)
irt documentation built on May 29, 2024, 12:02 p.m.
R Package Documentation
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| rmsd | R Documentation |
Calculate Root Mean Square Deviation (RMSD) (or Root Mean Square Error (RMSE))
Description
The formula for RMSD is:
RMSD = \sqrt{\frac{\sum_{i = 1}^n(\hat \theta - \theta)^2}{n}}
Usage
rmsd(est, true)
Arguments
est |
A numeric vector of estimated values |
true |
A numeric vector of true values |
Value
A number representing RMSD.
Author(s)
Emre Gonulates
Examples
true <- rnorm(10)
est <- true + runif(10)
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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