NEWS.md

In nimbleCarbon: Bayesian Analyses of Radiocarbon Dates with NIMBLE

Version 0.2.5 (Current GitHub Version)

• Fixed bug in dExponentialGrowth() causing memory allocation problems.
• Added alternative parametrisation for logistic growth model (dLogisticGrowth2())
• Updated plot functions to allow user defined x and y labels.
• Added option to specify line width in modelPlot()

Version 0.2.1 (CRAN Version)

• NEW Distributions:
• Trapezoidal Distribution.
• Asymmetric Laplace Distribution
• Updated version of modelPlot() function.
• Fixed error in compare.models() following changes in WAIC storing after nimble version 0.12.x

Version 0.1.2

• Fixes an installation error affecting Oracle Solaris 10, x86, 32 bit, R release, Oracle Developer Studio 12.6

Version 0.1.1

First release including the following key features: Custom population growth models (dExponentialGrowth.R, dLogisticGrowth.R,dDoubleExponentialGrowth.R, dExponentialLogisticGrowth.R, and dLogisticExponentialGrowth.R) A nimbleFunction for linear interpolation required for calibration (interpLin.R) Several diagnostic functions and posterior predictive checks, including agreement index (agreementIndex.R), correlation analyses of fitted and observed SPDs (postPredCor.R), simulation based comparison between observed SPD and fitted model (postPredSPD.R). Several plot functions for displaying posterior distributions (postHPDplot.R), growth models (modelPlot.R), and posterior predictive checks (plot.spdppc.R). Utility function for facilitating model comparison via WAIC (compare.models.R) IntCal20, ShCal20, and Marine20 calibration curves. * A vignette with sample workflows and a tutorial.

nimbleCarbon documentation built on Aug. 14, 2023, 5:08 p.m.