mu: Mean of signal: parameter of an MRMC model
In BayesianFROC: FROC Analysis by Bayesian Approaches
Description
Author(s)
See Also
Examples
Description
A posterior mean of the model parameter for data ddd as an example of truth parameter.
Author(s)
Issei Tsunoda tsunoda.issei1111@gmail.com
See Also
Examples
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#> BayesianFROC::mu
#[,1] [,2] [,3] [,4]
#[1,] 1.914686 0.7933306 1.526482 0.9543375
#[2,] 2.008008 1.2005846 2.081756 1.0197703
#[3,] 1.532117 0.5851726 1.513018 0.8879678
# [modality, reader]
BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.
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Description Author(s) See Also Examples
Description
A posterior mean of the model parameter for data ddd as an example of truth parameter.
Author(s)
Issei Tsunoda tsunoda.issei1111@gmail.com
See Also
Examples
1 2 3 4 5 6 7 8 9 | #> BayesianFROC::mu
#[,1] [,2] [,3] [,4]
#[1,] 1.914686 0.7933306 1.526482 0.9543375
#[2,] 2.008008 1.2005846 2.081756 1.0197703
#[3,] 1.532117 0.5851726 1.513018 0.8879678
# [modality, reader]
|
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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