get_ppc_plot: pp_check for loo statistics
In mcp: Regression with Multiple Change Points
get_ppc_plot R Documentation
pp_check for loo statistics
Description
pp_check for loo statistics
Usage
get_ppc_plot(fit, type, y, yrep, nsamples, draws = NULL, ...)
Arguments
type
One of bayesplot::available_ppc("grouped", invert = TRUE) %>% stringr::str_remove("ppc_")
y
Response vector
yrep
S X N matrix of predicted responses
nsamples
Number of draws. Note that you may want to use all data for summary geoms.
e.g., pp_check(fit, type = "ribbon", nsamples = NULL).
draws
(required for loo-type plots) Indices of draws to use.
...
Arguments passed to bayesplot::ppc_type(y, yrep, ...)
Value
A ggplot2 object returned by tidybayes::ppc_*(y, yrep, ...).
A string
Author(s)
Jonas Kristoffer Lindeløv jonas@lindeloev.dk
mcp documentation built on May 29, 2024, 6:15 a.m.
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| get_ppc_plot | R Documentation |
pp_check for loo statistics
Description
pp_check for loo statistics
Usage
get_ppc_plot(fit, type, y, yrep, nsamples, draws = NULL, ...)
Arguments
type |
One of |
y |
Response vector |
yrep |
S X N matrix of predicted responses |
nsamples |
Number of draws. Note that you may want to use all data for summary geoms.
e.g., |
draws |
(required for loo-type plots) Indices of draws to use. |
... |
Arguments passed to |
Value
A ggplot2 object returned by tidybayes::ppc_*(y, yrep, ...).
A string
Author(s)
Jonas Kristoffer Lindeløv jonas@lindeloev.dk
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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