summary_gp_mcmc: Summary plots showing the trace and posteriors for the...
In cboettig/nonparametric-bayes: Nonparametric Bayes inference for ecological models
Description
Usage
Arguments
Value
Description
Summary plots showing the trace and posteriors for the gp_mcmc estimates
Usage
1
summary_gp_mcmc(gp, burnin = 0, thin = 1)
Arguments
gp
a fit of the gaussian process from gp_mcmc
burnin
length of sequence to discard as a transient
thin
frequency of sub-sampling (make posterior distribution smaller if necessary)
Value
two ggplot2 objects, one plotting the trace and one
plotting the posteriors in black with priors overlaid in red.
cboettig/nonparametric-bayes documentation built on May 13, 2019, 2:09 p.m.
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Description Usage Arguments Value
Description
Summary plots showing the trace and posteriors for the gp_mcmc estimates
Usage
1 | summary_gp_mcmc(gp, burnin = 0, thin = 1)
|
Arguments
gp |
a fit of the gaussian process from gp_mcmc |
burnin |
length of sequence to discard as a transient |
thin |
frequency of sub-sampling (make posterior distribution smaller if necessary) |
Value
two ggplot2 objects, one plotting the trace and one plotting the posteriors in black with priors overlaid in red.
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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