General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Estimate an AR-X model with log-ARCH-X errors
General-to-Specific (GETS) and Indicator Saturation (ISAT) Modelling
General-to-Specific (GETS) Modelling 'isat' objects
General-to-Specific (GETS) Modelling of a heterogeneous log-ARCH-X mod...
Diagnostics tests
Variance of the coefficient path
Convert an object to class 'arx'
Convert to 'lm' object
Bias-correction of coefficients following general-to-specific model se...
Block-based General-to-Specific (GETS) modelling
Extraction functions for 'arx' objects
Extraction functions for 'gets' objects
Extraction functions for 'isat' objects
Methods and extraction functions for 'larch' objects
Extraction functions for 'logitx' objects
Jiao-Pretis-Schwarz Outlier Distortion Test
Bootstrapped Jiao-Pretis-Schwarz Outlier Distortion Test
Drop variable
Equally Weighted Moving Average (EqWMA) of the pth. exponentiated valu...
Conditional Value-at-Risk (VaR) and Expected Shortfall (ES)
Exporting results to EViews and STATA
General-to-Specific (GETS) Modelling 'lm' objects
General-to-Specific (GETS) Modelling of objects of class 'logitx'
General-to-Specific (GETS) Modelling
General-to-Specific (GETS) modelling function
General-to-Specific (GETS) Modelling of an AR-X model (the mean specif...
Generalised Method of Moment (GMM) estimation of linear models
Consistency and Efficiency Correction for Impulse Indicator Saturation
Make Indicator Matrices (Impulses, Steps, Trends)
Computes the Average Value of an Information Criterion
Indicator Saturation
Extracting Indicator Saturation Breakdates
Repeated Impulse Indicator Saturation
Indicator Saturation Test
IIS Consistency Correction
IIS Efficiency Correction
Estimate a heterogeneous log-ARCH-X model
Estimation of a log-variance model
Estimation of a logit model
Estimate an autoregressive logit model with covariates
Simulate from a dynamic logit-x model
Simulate from a Multivariate Normal Distribution
OLS estimation
Sum and Sup Scaling Outlier Tests
Jiao and Pretis Outlier Proportion and Count Tests
Extraction functions for 'arx', 'gets' and 'isat' objects
Make matrix of periodicity (e.g. seasonal) dummies
Forecasting with 'arx' models
Variance forecasting with 'larch' models
Generate LaTeX code of an estimation result
Recursive estimation
Create the regressors of the mean equation
Create regressors for a log-variance model
Variance of the Impulse Indicator Saturation Gauge
Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Useful links