# Automating the Fitting of Double Linear Mixed Models in 'JAGS' and 'nimble'

## Documentation for package ‘dalmatian’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

betabin_data_1 | Simulated data for illustrating the beta-binomial model
caterpillar | Caterpillar (Generic)
caterpillar.dalmatian | Caterpillar (dalmatian)
coef.dalmatian | Coefficients function for 'dalmatian' objects
convergence | Convergence Diagnostics (S3 Generic)
convergence.dalmatian | Convergence
dalmatian | Run DGLM in 'JAGS' via 'rjags' or in 'nimble'
gamma_data_1 | Simulated data to show how the gamma model may be fit with fixed and random effects on both the mean and dispersion.
nbinom_data_1 | Simulated data to show how the negative binomial model may be fit with fixed and random effects on both the mean and dispersion.
pfdata | Pied flycatcher feeding data
plot.dalmatian | Plot Function for 'dalmatian' objects
predict.dalmatian | Prediction method for dalmatian objects
print.dalmatian | Printed Summary of a 'dalmatian' Object
print.dalmatian.summary | Print Summary (dalmatian)
ranef | Random Effects (S3 Generic)
ranef.dalmatian | Random Effects (dalmatian)
residuals.dalmatian | Residuals method for dalmatian fitted objects
setJAGSInits | Set initial values for 'dalmatian'
summary.dalmatian | Summary (dalmatian)
terms.dalmatian | Terms function for 'dalmatian' objects
traceplots | Traceplots (Generic)
traceplots.dalmatian | Traceplots (dalmatian)
weights_data_1 | Simulated data for illustrating the use of weights