dose_predict
. The returned error was too large and did not make
much sense due to an internal calculation error. Along with the fix, the manual was updated to detail the
uncertainty calculation. (PR #42 by @RLumSK)set_energy()
but did not show correctly when plotted using the standard plot method, e.g., plot(cal, pks)
would show only observed but not expected energy lines in the secondary x-axis. Now the expected energy lines (if set) are show. (#29, PR #32 by @RLumSK).read()
(#28 by @RLumSK).GammaSpectra-class
objects for energy_calibrate()
(issue: #22, PR #31 by @RLumSK).PeakPosition-class
to list
(exported as as.list()
) and from list
to PeakPosition-class
. This enables better plotting functionality if the peak positions for where provided manually as list
and not via, e.g., peak_find()
(PR #37 by @RLumSK).dose_predict()
and calculate a "final" dose based on the mean of the findings from the count and the energy threshold (PR #43 by @RLumSK) dose_predict()
to work with a numeric
input for background
as claimed in the documentary. This value can also be set to c(0,0)
if no background
subtraction is wanted (PR #38 by @RLumSK)dose_predict()
, which had some loopholes (PR #43 by @RLumSK) clermont
dataset for better transparency.clermont_2024
based on the original clermont
dataset but with dose rate conversion factors and gamma dose rate calculated for different conversion factor datasets (PR #40 by @RLumSK)set_energy<-
so that argument value
appears in the method at the end of the argument list.alpha
argument in dose_fit()
to follow changes in IsoplotR.default.stringsAsFactors()
; fixed (#23, @RLumSK)\doi
instead of \href
in documentation.Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.