Bounded Time Series Regression
Shared documentation for coefficients
Shared documentation for configuration related parameteres
Shared documentation for link functions
Shared documentation for log-likelihood
Available map functions in BTSR package
Available models in BTSR package
Shared documentation for models order
Shared documentation for arguments
Shared documentation for regressors
Shared documentation for the time series
Functions to simulate, extract components and fit BARC models
tools:::Rd_package_title("BTSR")
Generic functions to simulate, extract components and fit BTSR models
Print Model Default Settings
Table of available model
BTSR models with constant over time
Initial values for coefficients
Default control list
Retrieve Default Arguments for BTSR Package Functions
Create a Link for BTSR models
Predict method for BTSR
Print Method of class BTSR
Summary Method of class BTSR
Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in FORTRAN, which translates into very fast algorithms.