R: Beta Autoregressive Moving Average Models

# Beta Autoregressive Moving Average Models

## Documentation for package ‘betaARMA’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

barma | Fit Beta Autoregressive Moving Average (BARMA) Models via Conditional Maximum Likelihood
brasilia_df | Monthly relative humidity in Brasília (data frame)
brasilia_ts | Monthly relative humidity in Brasília
coef.barma | Extract Coefficients from a barma Model
fim_barma | Compute Fisher Information Matrix for Beta Autoregressive Moving Average Models
fitted.barma | Extract Fitted Values from a barma Model
forecast.barma | Forecast a barma Model
loglik_barma | Compute Conditional Log-Likelihood for Beta Autoregressive Moving Average Models
make_link_structure | Create Link Function Structure for BARMA Models
plot.barma | Diagnostic Plots for a Fitted betaARMA Model
print.barma | Print Method for a barma Model
print.summary.barma | Print Method for a barma Summary
residuals.barma | Residuals for a Fitted betaARMA Model
score_vector_barma | Score Vector for the BARMA Model
simu_barma | Simulate a Beta Autoregressive Moving Average (BARMA) Time Series
start_values | Generate Initial Values for BARMA Model Estimation
summary.barma | Summarize a barma Model Fit