bmmat: Apply 'bm' to each column of a matrix or data frame of MCMC...
In batchmeans: Consistent Batch Means Estimation of Monte Carlo Standard Errors
Description
Usage
Arguments
Value
See Also
Description
Apply bm to each column of a matrix or data frame of MCMC samples.
Usage
1
bmmat(x)
Arguments
x
a matrix or data frame with each row being a draw from the multivariate distribution of interest.
Value
bmmat returns a matrix with ncol(x) rows and two columns. The row names of the matrix are the same as the column names of x. The column names of the matrix are “est” and “se”. The jth row of the matrix contains the result of applying bm to the jth column of x.
See Also
bm, which performs consistent batch means estimation for a vector.
batchmeans documentation built on July 2, 2020, 4:15 a.m.
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Description Usage Arguments Value See Also
Description
Apply bm to each column of a matrix or data frame of MCMC samples.
Usage
1 | bmmat(x)
|
Arguments
x |
a matrix or data frame with each row being a draw from the multivariate distribution of interest. |
Value
bmmat returns a matrix with ncol(x) rows and two columns. The row names of the matrix are the same as the column names of x. The column names of the matrix are “est” and “se”. The jth row of the matrix contains the result of applying bm to the jth column of x.
See Also
bm, which performs consistent batch means estimation for a vector.
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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