stability | R Documentation |
Computes an empirical fluctuation process according to a specified
method from the generalised fluctuation test framework. The test
utilises the function efp()
and its methods from
package ‘strucchange
’.
## Default S3 method:
stability(x, type = c("OLS-CUSUM", "Rec-CUSUM",
"Rec-MOSUM", "OLS-MOSUM", "RE", "ME", "Score-CUSUM", "Score-MOSUM",
"fluctuation"), h = 0.15, dynamic = FALSE, rescale = TRUE, ...)
## S3 method for class 'varest'
stability(x, type = c("OLS-CUSUM", "Rec-CUSUM",
"Rec-MOSUM", "OLS-MOSUM", "RE", "ME", "Score-CUSUM", "Score-MOSUM",
"fluctuation"), h = 0.15, dynamic = FALSE, rescale = TRUE, ...)
x |
Object of class ‘ |
type |
Specifies which type of fluctuation process will be
computed, the default is ‘ |
h |
A numeric from interval (0,1) sepcifying the
bandwidth. Determins the size of the data window relative to sample
size (for ‘ |
dynamic |
Logical. If ‘ |
rescale |
Logical. If ‘ |
... |
Ellipsis, is passed to |
For details, please refer to documentation efp
.
A list with class attribute ‘varstabil
’ holding the
following elements:
stability |
A list with objects of class ‘ |
names |
Character vector containing the names of the endogenous variables. |
K |
An integer of the VAR dimension. |
Bernhard Pfaff
Zeileis, A., F. Leisch, K. Hornik and C. Kleiber (2002), strucchange: An R Package for Testing for Structural Change in Linear Regression Models, Journal of Statistical Software, 7(2): 1-38, https://www.jstatsoft.org/v07/i02/
and see the references provided in the reference section of
efp
, too.
VAR
, plot
, efp
data(Canada)
var.2c <- VAR(Canada, p = 2, type = "const")
var.2c.stabil <- stability(var.2c, type = "OLS-CUSUM")
var.2c.stabil
## Not run:
plot(var.2c.stabil)
## End(Not run)
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