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Updated a few bits from win-builder
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DESCRIPTION

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Gaussian mixtures as a means to determine the activity of a site
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(and as an alternative to the Oxcal function SUM; currently
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unpublished), and reverse calibration of dates from calibrated into
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un-calibrated years (also unpublished).
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14C years (also unpublished).
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License: GPL (>= 2)
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Suggests:
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knitr,

R/data.R

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#' \item{\code{calCurves}}{Calibration curve for each age}
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#' }
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#'
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#' @details This Sluggan Moss data can be downloaded from the European Pollen Database: \url{http://www.europeanpollendatabase.net}. For usage see \code{\link{Bchronology}} or \code{\link{BchronDensity}}
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#' @details This Sluggan Moss data can be downloaded from the European Pollen Database: \url{https://epdweblog.org/}. For usage see \code{\link{Bchronology}} or \code{\link{BchronDensity}}
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#' @usage data(Sluggan)
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#'
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#' @source Smith, A. G., & Goddard, I. C. (1991). A 12,500 year record of vegetational history at Sluggan Bog, Co. Antrim, N. Ireland (incorporating a pollen zone scheme for the non-specialist). New Phytologist, 118, 167-187.

cran-comments.md

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* win-builder (devel and release)
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## R CMD check results
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There were no ERRORs or WARNINGs or NOTEs on GitHub Actions
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There were no ERRORs or WARNINGs or NOTEs on GitHub Actions or win-builder
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On my local machine I got a note aobut being unable to verify the time but I don't think I can fix this.
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inst/CITATION

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citHeader("To cite Bchron in publications use:")
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citEntry(entry = "Article",
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bibentry(
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"Article",
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title = "A simple monotone process with application to radiocarbon-dated depth chronologies",
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author = personList(as.person("John Haslett"),
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as.person("Andrew C Parnell")),
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journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
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author = "John Haslett, Andrew C Parnell",
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year = "2008",
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journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
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volume = "57",
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number = "4",
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pages = "399--418",
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publisher = "Wiley Online Library",
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url = "https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1467-9876.2008.00623.x",
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textVersion =
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paste("Haslett, J., & Parnell, A.C. (2008). A simple monotone process with application to radiocarbon‐dated depth chronologies. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57(4), 399-418.")
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url = "10.1111/j.1467-9876.2008.00623.x",
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)

vignettes/Bchron.Rmd

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Bchron is an R package that enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); age-depth modelling as per the algorithm of Haslett and Parnell (2008); Relative sea level rate estimation incorporating time uncertainty in polynomial regression models (Parnell and Gehrels 2015); non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the Oxcal function SUM; currently unpublished), and reverse calibration of dates from calibrated into un-calibrated years.
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You will find Bchron far easier to use if you know some basics on how to use R. I recommend the book by Norman Matloff [amazon.co.uk link](https://www.amazon.co.uk/The-Art-Programming-Statistical-Software/dp/1593273843), or the online courses by [Pluralsight](https://www.pluralsight.com)
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You will find Bchron far easier to use if you know some basics on how to use R. I recommend the book by Norman Matloff [amazon.co.uk link](https://amzn.eu/d/98d9tsO), or the online courses by [Pluralsight](https://www.pluralsight.com)
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If you find bugs or want to suggest new features please visit the Bchron [GitHub issues page](https://github.com/andrewcparnell/Bchron/issues).
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## Installing Bchron
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Bchron will run in Windows, Mac OS X or Linux. To install Bchron you first need to install [R](https://www.r-project.org). I would also recommend installing [Rstudio](https://www.rstudio.com) as a nice desktop environment for using R. Once in R you can type:
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Bchron will run in Windows, Mac OS X or Linux. To install Bchron you first need to install [R](https://www.r-project.org). I would also recommend installing [Rstudio](https://posit.co/) as a nice desktop environment for using R. Once in R you can type:
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```{r,eval=FALSE}
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install.packages("Bchron")

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