nimbleCarbon 0.2.5

• 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()

First CRAN Release

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 v0.1-beta.0

Updated citation