Since you seem to have trouble reading (the Posting Guide warns you to post here using plain text format emails.. doing so will be to your benefit when we can see what you posted clearly), perhaps it is not clear to you that the Task View is referring to contributed packages that have their own documentation.
Also, please be aware that a significant hurdle to applying spectral analysis in any calculation tool is familiarity with the underlying theory. Doing so with irregular samples is going to be even more challenging, and this is not an appropriate forum for learning such topics. On November 22, 2015 10:23:34 AM PST, Valery Khamenya <khame...@gmail.com> wrote: >Hi, > >I fail to find libraries to estimate the spectral density for irregular >time-series. > >This entry from "CRAN Task View: Time Series Analysis": > >[...]Various packages implement irregular time series based on >"POSIXct" >time stamps, intended especially for financial applications. These >include >"its" from its, "irts" from tseries, and "fts" from fts. [...] > >is rather not that much helping. > >best regards >-- >Valery > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my Android device with K-9 Mail. Please excuse my brevity. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
