TTR_0.22-0 on CRAN

An updated version of TTR is now on CRAN.  The biggest changes to be aware of are that all moving averages attempt to set colnames, CCI() returns an object with colnames, and the initial gap for SAR() is not hard-coded at 0.01.  There are also some much-needed bug fixes - most notably to Yang Zhang volatility, MACD(), SAR(), EMA()/EVWMA(), and adjRatios().

There are some exciting new features, including a rolling single-factor model function (rollSFM(), based on a prototype from James Toll), a runPercentRank() function from Charlie Friedemann, stoch() and WPR() return 0.5 instead of NaN when there’s insufficient price movement, and a faster aroon() function.

Here are all of the updates (from the CHANGES file):

#-#-#-#-#-#-#-#-#-#    Changes in TTR version 0.22-0    #-#-#-#-#-#-#-#-#-#

SIGNIFICANT USER-VISIBLE CHANGES

• CCI() now returns an object with colnames (“cci”).
• All moving average functions now attempt to set colnames.
• Added clarification on the displaced nature of DPO().
• SAR() now sets the initial gap based on the standard deviation of the high-low range instead of hard-coding it at 0.01.

NEW FEATURES

• Added rollSFM() function that calculates alpha, beta, and R-squared for a single-factor model, thanks to James Toll for the prototype.
• Added runPercentRank() function, thanks to Charlie Friedemann.
• Moved slowest portion of aroon() to C.
• DonchianChannel() gains an include.lag = FALSE argument, which includes the current period’s data in the calculation. Setting it to TRUE replicates the original calculation. Thanks to Garrett See and John Bollinger.
• The Stochastic Oscillator and Williams’ %R now return 0.5 (instead of NaN) when a securities’ price doesn’t change over a sufficient period.
• All moving average functions gain ....
• Users can now change alpha in Yang Zhang volatility calculation.

BUG FIXES

• Fixed MACD() when maType is a list. Now mavg.slow = maType[[2]] and mavg.fast = maType[[1]], as users expected based on the order of the nFast and nSlow arguments. Thanks to Phani Nukala and Jonathan Roy.
• Fixed bug in lags() function, thanks to Michael Weylandt.
• Corrected error in Yang Zhang volatility calculation, thanks to several people for identifying this error.
• Correction to SAR() extreme point calculations, thanks to Vamsi Galigutta.
• adjRatios() now ensures all inputs are univariate, thanks to Garrett See.
• EMA() and EVWMA() now ensure n is less than the number of non-NA values, thanks to Roger Bos.
• Fix to BBands() docs, thanks to Evelyn Mitchell.

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