bugs_to_df | R Documentation |
From the output of the function fit_trend()
(or read_bugs()
), this
function extracts estimated parameters into a data.frame
.
The resulting data.frame
has no particular use in popbayes
but it can be
useful for users.
bugs_to_df(data)
data |
a named |
A data.frame
.
## Load Garamba raw dataset ----
file_path <- system.file("extdata", "garamba_survey.csv",
package = "popbayes")
garamba <- read.csv(file = file_path)
## Create temporary folder ----
temp_path <- tempdir()
## Format dataset ----
garamba_formatted <- popbayes::format_data(
data = garamba,
path = temp_path,
field_method = "field_method",
pref_field_method = "pref_field_method",
conversion_A2G = "conversion_A2G",
rmax = "rmax")
## Select one serie ----
a_buselaphus <- popbayes::filter_series(garamba_formatted,
location = "Garamba",
species = "Alcelaphus buselaphus")
## Fit population trends (requires JAGS) ----
a_buselaphus_mod <- popbayes::fit_trend(a_buselaphus, path = temp_path)
## Import BUGS outputs for one count series ----
bugs <- popbayes::read_bugs(series = "garamba__alcelaphus_buselaphus",
path = temp_path)
## Extract estimated parameters ----
popbayes::bugs_to_df(bugs)
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