NEWS
nimbleCarbon 0.2.5 (2023-08-14)
- 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()
nimbleCarbon 0.2.1 (2022-05-09)
- 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
nimbleCarbon 0.1.2 (2021-05-27)
- Fixes an installation error affecting Oracle Solaris 10, x86, 32 bit, R release, Oracle Developer Studio 12.6
nimbleCarbon 0.1.1 (2021-05-25)
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.