scrBesag: Simultaneous credible band computation (Besag algorithm)
In bfp: Bayesian Fractional Polynomials
scrBesag R Documentation
Simultaneous credible band computation (Besag algorithm)
Description
Simultaneous credible band computation
Usage
scrBesag(samples, level=0.95)
Arguments
samples
m by n matrix where m is the number of parameters,
n is the number of samples and hence each (multivariate) sample is a column
in the matrix samples
level
the credible level (default: 0.95)
Details
Calculates a series of simultaneous credible bounds for one parameter type.
Value
matrix with ‘lower’ and ‘upper’ rows
Author(s)
Thomas Kneib
References
J. Besag, P. Green, D. Higdon, K. Mengersen (1995):
Bayesian Methods for Nonlinear Classification and Regression,
Statistical Science 10/1, 3–66
bfp documentation built on Nov. 1, 2022, 1:05 a.m.
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| scrBesag | R Documentation |
Simultaneous credible band computation (Besag algorithm)
Description
Simultaneous credible band computation
Usage
scrBesag(samples, level=0.95)
Arguments
samples |
m by n matrix where m is the number of parameters,
n is the number of samples and hence each (multivariate) sample is a column
in the matrix |
level |
the credible level (default: 0.95) |
Details
Calculates a series of simultaneous credible bounds for one parameter type.
Value
matrix with ‘lower’ and ‘upper’ rows
Author(s)
Thomas Kneib
References
J. Besag, P. Green, D. Higdon, K. Mengersen (1995): Bayesian Methods for Nonlinear Classification and Regression, Statistical Science 10/1, 3–66
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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