autocorr: Autocorrelation Function
In BayHap: Bayesian analysis of haplotype association using Markov Chain Monte Carlo
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Computes lag autocorrelations for the parameters in an MCMC
sequence.
Usage
1
Arguments
x
An object of class reg or freq.
lag
Numerical vector of lags where autocorrelation must be estimated.
keep.rares.autocorr
Logical TRUE or FALSE indicating whether autocorrelation for rares category must be shown or not.
Value
A matrix whose columns and rows contain the estimated
autocorrelation functions at the specified lags and the monitored
parameters, respectively.
Author(s)
Original version by Brian J. Smith in package Boa.
Adapted version by Raquel Iniesta riniesta@pssjd.org
See Also
BayHap documentation built on May 2, 2019, 12:44 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Computes lag autocorrelations for the parameters in an MCMC sequence.
Usage
1 |
Arguments
x |
An object of class |
lag |
Numerical vector of lags where autocorrelation must be estimated. |
keep.rares.autocorr |
Logical TRUE or FALSE indicating whether autocorrelation for rares category must be shown or not. |
Value
A matrix whose columns and rows contain the estimated autocorrelation functions at the specified lags and the monitored parameters, respectively.
Author(s)
Original version by Brian J. Smith in package Boa.
Adapted version by Raquel Iniesta riniesta@pssjd.org
See Also
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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