HI Rich:

How irregular is irregular.  kalman filter based methods, such as those in KFAS 
and DLM, can handle missing data, and often "irregular" data can be thought of 
as regular data with missing values,  A lot depends on how irregular and how 
big the gaps, to the point where the analysis can be calculated but is not very 
meaningful.

Don't know if this helps.

-Roy M.

On Apr 3, 2014, at 2:25 PM, Rich Shepard <rshep...@appl-ecosys.com> wrote:

> On Thu, 3 Apr 2014, arun wrote:
> 
>> Not sure if this helps you.
>> http://stackoverflow.com/questions/12623027/how-to-analyse-irregular-time-series-in-r
> 
> A.K.,
> 
>  Yes, it does. I've read all the zoo docs I can find and have been
> searching for more information on irregular time series data. Environmental
> data, unlike financial or economic data (or the examples in books and R help
> pages) is always sloppy and irregular. Wish there was a book or monograph on
> these data.
> 
> Thanks very much,
> 
> Rich
> 
> -- 
> Richard B. Shepard, Ph.D.          |      Have knowledge, will travel.
> Applied Ecosystem Services, Inc.   |
> www.appl-ecosys.com      Voice: 503-667-4517         Fax: 503-667-8863
> 
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**********************
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**********************
Roy Mendelssohn
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NOAA/NMFS
Environmental Research Division
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