modelTest():
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 oxcAARCalibratedDatesListclass (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.