# paths: Extraction functions for 'arx', 'gets' and 'isat' objects In gets: General-to-Specific (GETS) Modelling and Indicator Saturation Methods

## Description

Extraction functions for objects of class 'arx', 'gets' and 'isat'

## Usage

 ```1 2 3``` ```paths(object, ...) terminals(object, ...) rsquared(object, ...) ```

## Arguments

 `object` an object of class 'arx', 'gets' or 'isat' `...` additional arguments

## Details

`paths` and `terminals` can only be applied on objects of class 'gets' and 'isat'

## Value

 `paths:` a `list` with the paths searched (each number refers to a regressor in the GUM) `terminals:` a `list` with the terminal models (each number refers to a regressor in the GUM) `rsquared:` a `numeric`, the R-squared of the regression

## Author(s)

Genaro Sucarrat, http://www.sucarrat.net/

`getsm`, `getsm`, `getsv`, `isat`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```##Simulate from an AR(1): set.seed(123) y <- arima.sim(list(ar=0.4), 50) ##Simulate four independent Gaussian regressors: xregs <- matrix(rnorm(4*50), 50, 4) ##estimate an AR(2) with intercept and four conditioning ##regressors in the mean: mymod <- arx(y, mc=TRUE, ar=1:2, mxreg=xregs) rsquared(mymod) ##General-to-Specific (GETS) modelling of the mean: meanmod <- getsm(mymod) rsquared(meanmod) ##extract the paths searched: paths(meanmod) ##extract the terminal models: terminals(meanmod) ```