backtest-extractors | R Documentation |
Extracts information from an object of class
fPFOLIOBACKTEST.
The functions are:
getWindows | Extract windows slot, |
getWindowsFun | extract windows function, |
getWindowsParams | extract a list of windows specific parameters, |
getWindowsHorizon | extract windows horizon, |
getStrategy | extract strategy slot, |
getStrategyFun | extract the portfolio strategy function, |
getStrategyParams | extract a list of portfolio strategy specific parameters, |
getSmoother | extract the smoother slot, |
getSmootherFun | Extract the Ssoother function, |
getSmootherParams | extract a list of Smoothing specific parameters, |
getSmootherLambda | extract the smoothing parameter Lambda, |
getSmootherDoubleSmoothing | extract setting for double smoothing, |
getSmootherInitialWeights | extract the initial weights to used in the smoothing, |
getSmootherSkip | extract the number of skipped months, |
getMessages | extract the message slot. |
## S3 method for class 'fPFOLIOBACKTEST'
getWindows(object)
## S3 method for class 'fPFOLIOBACKTEST'
getWindowsFun(object)
## S3 method for class 'fPFOLIOBACKTEST'
getWindowsParams(object)
## S3 method for class 'fPFOLIOBACKTEST'
getWindowsHorizon(object)
## S3 method for class 'fPFOLIOBACKTEST'
getStrategy(object)
## S3 method for class 'fPFOLIOBACKTEST'
getStrategyFun(object)
## S3 method for class 'fPFOLIOBACKTEST'
getStrategyParams(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmoother(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherFun(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherParams(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherLambda(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherDoubleSmoothing(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherInitialWeights(object)
## S3 method for class 'fPFOLIOBACKTEST'
getSmootherSkip(object)
## S3 method for class 'fPFOLIOBACKTEST'
getMessages(object)
object |
an object of class |
W\"urtz, D., Chalabi, Y., Chen W., Ellis A. (2009); Portfolio Optimization with R/Rmetrics, Rmetrics eBook, Rmetrics Association and Finance Online, Zurich.
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