bayesianLayman: Calculate Layman metrics on Bayesian posterior samples of a...
In SIBER: Stable Isotope Bayesian Ellipses in R
View source: R/bayesianLayman.R
bayesianLayman R Documentation
Calculate Layman metrics on Bayesian posterior samples of a community
Description
This function loops over the posterior distribution of group means within
each community and generates the corresponding Bayesian estimate of the 6
Layman metrics.
Usage
bayesianLayman(mu.post)
Arguments
mu.post
a list of length n.communities, with each list element
containing the estimated means of the groups comprising that community. The
typical workflow to generate mu.post follows. The
Bayesian ellipses are fitted using siberEllipses(), then the
posterior means (centre of mass of each group) is extracted using
extractPosteriorMeans(). See the example below.
Value
A list of length n.communities, with each element containing a
matrix of 6 columns, each representing the Bayesian posterior distribution
of the 6 Layman metrics for each of the posterior draws recorded by the
fitting process (i.e. which determines the number of rows in this matrix).
SIBER documentation built on Oct. 19, 2023, 5:09 p.m.
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View source: R/bayesianLayman.R
| bayesianLayman | R Documentation |
Calculate Layman metrics on Bayesian posterior samples of a community
Description
This function loops over the posterior distribution of group means within each community and generates the corresponding Bayesian estimate of the 6 Layman metrics.
Usage
bayesianLayman(mu.post)
Arguments
mu.post |
a list of length n.communities, with each list element
containing the estimated means of the groups comprising that community. The
typical workflow to generate mu.post follows. The
Bayesian ellipses are fitted using |
Value
A list of length n.communities, with each element containing a matrix of 6 columns, each representing the Bayesian posterior distribution of the 6 Layman metrics for each of the posterior draws recorded by the fitting process (i.e. which determines the number of rows in this matrix).
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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