hierarch1: Hierarchal Bayes Model
In joemckean/mathstat: Introduction to Mathematical Statistics R Package
Description
Usage
Arguments
Details
Value
References
See Also
Examples
Description
Computes the Gibbs sampler for the two conditional pdf's,
g(lambda | x, b) and g(b | x, lambda).
Usage
1
hierarch1(nsims = 0, x = 0, tau = 0.05, kstart = 1)
Arguments
nsims
Number of iterations for the Gibbs sampler
x
Value observed
tau
Statistic used to measure the ordinal association between
kstart
Indicates at which value of nsims the Gibbs sample commences
Details
Computes the solution to Example 11.4.2 on page 681.
Value
**NEED INFO
References
Hogg, R. McKean, J. Craig, A. (2018) Introduction to Mathematical
Statistics, 8th Ed. Boston: Pearson.
See Also
Examples
1
2
joemckean/mathstat documentation built on May 30, 2019, 2:01 p.m.
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Description Usage Arguments Details Value References See Also Examples
Description
Computes the Gibbs sampler for the two conditional pdf's, g(lambda | x, b) and g(b | x, lambda).
Usage
1 | hierarch1(nsims = 0, x = 0, tau = 0.05, kstart = 1)
|
Arguments
nsims |
Number of iterations for the Gibbs sampler |
x |
Value observed |
tau |
Statistic used to measure the ordinal association between |
kstart |
Indicates at which value of nsims the Gibbs sample commences |
Details
Computes the solution to Example 11.4.2 on page 681.
Value
**NEED INFO
References
Hogg, R. McKean, J. Craig, A. (2018) Introduction to Mathematical Statistics, 8th Ed. Boston: Pearson.
See Also
Examples
1 2 |
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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