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 (as in Edinborough et al 2017 )First official CRAN release.