calibrate()
within modelTest()
.qCal()
function computes quantiles of calibrated dates.multiplot()
now enables relative positioning of labels based on quantiles of calibrated dates and/or a user-defined offset. spweights()
,sptest()
, and plot.spatialTest()
) now depend on sf
instead of sp
package.modelTest()
now issues a warning message when model
is set to "exponential"
or "uniform"
(i.e. when the SPD is tested against exponential and uniform curves fitted on observed SPD values.) sptest()
and the warning in modelTest()
.plot.stackCalSPD()
function when attempting to display proportion SPD plots including intervals with no dates.spd()
reducing the timeRange
when datenormalised
was set to TRUE.calibrate()
now issues a warning in case dates have calibrated probabilities outside the user defined timeRange
value.stackspd()
now requires the group
argument to be factors. Factor levels will be condition the plot order in plot.stackCalSPD()
.rescale=TRUE
and type='multipanel'
, plot.stackCalSPD()
will now display the true y-axis range of individual SPDs (instead of a rescaled 0-1 range). plot.stackCalSPD()
to match displayhpdi()
now has the option to return a character vector with HPDI ranges in either BP or BCAD.plot.stackCalSPD()
summary()
and plot()
functions for SpdModelTest
class objectssummary()
function on CalDates
class object with multiple dates (thanks to nferebau for the bug report and fix)
plot.stackCalSPD()
proportion plot to handle instances with 0 summed probability in the time Range of analysis.binMed()
function can now handle larger caldates
objects.poolDates()
function allows combination of 14C ages associated with the same event using Ward and Wilson 1978 method.spatstat(>= 2.0-0)
. calibrate()
function (c.a 400% faster)multiplot
allows for rescaled calibrated probability distribution (new argument rescale
) for improved readability.multiplot()
and stackspd()
.hdmi()
now computes the probability mass of each age bracket (thanks to hanecakr for the suggestion and sample code)transformSPD()
allows for taphonomic (and other user-defined) corrections to SPDs.multiplot
function.calibrate()
calibrate()
.F14C=TRUE
was producting an error message in calibrate()
after refactoring in version 1.3.1. resErrors
(Delta R error) for marine reservoir effect.stackspd()
creates a set of multiple SPDs as an object of class stackCalSPD
with a dedicated plot function.multiplot()
function for displaying multiple calibrated dates.hpdi()
function for computing highest probability density intervals of calibrated dates.combine()
function for concatenating multiple calDates
class objects.calibrate()
, modelTest()
, and sptest()
are now parallelised using the doSNOW package, enabling progress bar when running over multiple cores.binPrep()
now accepts alternative clustering algorithmsmodelTest()
:uncalibrate()
.gridclip
to add range constrain in the simulation envelope. When set to TRUE the sampling is executed within the observed range of dates.timeRange
can now be left undefined, in which case the range of median calibrated observed dates is used. normalised
handles whether simulated dates should be normalised or not.backsight
and changexpr
enabling the comparison of expected and observed rates of changes. calsample
and uncalsample
methods (update in uncalibrate()
) `nsim
when fitonly
is set to TRUE.permTest()
backsight
and changexpr
enabling the comparison of expected and observed rates of changes. spd()
: aggregation matrix now spans beyond timeRange
to avoid edge effects.calibrate()
: the new argument F14C
enables calibration in F14C space.SPpermTest()
: sptest()
spd2gg()
:spd2rc()
thinDates()
function to randomly select a maximum number of dates per site, bin or phase.as.CalDates()
function converts dates in BchronCalibratedDates
class (Bchron) and oxcAARCalibratedDatesList
class (oxAAR) into CalDates` class (rcarbon).sampleDates()
function for sampling random dates from calibrated dates or bins.ckde()
function for generating composite kernel density estimates.stkde()
Map the spatio-temporal intensity of a set of radiocarbon dates across multiple yearsspkde()
Map the spatial intensity of a set of radiocarbon dates for a given focal year.plot()
function.subset()
and which.CalDates()
for subsetting and extracting indices of calibrated dates based on temporal intervals described by logical conditions (e.g. between 5500 and 4500 cal BP) and user defined probability mass.plot()
functions when calendar is set to `BC/AD'mixCurves()
. SPpermTest()
: Functions was not working when not running when raw=FALSE
and ncores=1
.summary()
for the output of modelTest()
: The number of bins reported was incorrect.binsense()
requires a smaller number of non-optional arguments and allows for binning based on median calibrated dates.plot()
function for geometric growth rates now allows for BC/AD calendar display. binPrep()
can now group dates based on median calibrated dates.modelTest()
can now test SPD generated from multiple calibration curves.modelTest()
now uses randomised back-calibration for the 'calsample' method.uncalibrate()
's random back-calibration now utilises both the user supplied lab error and the error of the calibration curve.mixCurves()
function generates mixed terrestrial/marine calibration curves.permTest()
: p-values calculation algorithm was yielding p-values of 0.summary()
functions for the outputs of permTest()
and modelTest()
.calibrate()
: calibration of multiple dates with different calibration curves was based on the calibration curve of the first sample.modelTest()
: back-calibration routine was ignoring user-supplied calibration curve and was solely using "intcal13". modelTest()
now allows for two distinct procedures for generating random dates from fitted models.calibrate()
.SPpermTest()
generating opposite results (positive deviations were recorded as negative deviations) when ncores
was larger than 1. plot.SpatialTest()
. spd2gg()
to convert SPD curves into geometric growth rates for given temporal blocks and an associated plot function. modelTest()
function when running with multiple cores.p2pTest()
for comparing point to point differences in SPD.First official CRAN release.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.