| GLMMstd_dataset | R Documentation |
A fisheries dataset for demonstrating the Generalized Linear Mixed Model (GLMM) based Catch Per Unit Effort (CPUE) standardization method.
GLMMstd_dataset
A data frame with 1000 observations and 5 variables:
Fishing year.
Fishing gear used during the fishing operation.
Unique vessel identifier representing the fishing vessel.
Fishing effort expended during the operation.
Observed catch obtained during the fishing operation.
The dataset contains catch and effort observations collected over multiple years using different fishing gears and vessels. Vessel information is included to model vessel-specific random effects, while year and gear are treated as fixed effects in the CPUE standardization process.
GLMMstd
## Not run:
library(FESta)
data('GLMMstd_dataset')
result<-GLMMstd(
data=GLMMstd_dataset,
year_col="Year",
catch_col = "Catch",
effort_col = "Effort",
fixed_effects = c("Year"),
random_effects = c("Vessel"),
log_transform = TRUE
)
print(result)
## End(Not run)
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