tuts
: time-uncertain time series in Rtuts
is an R package that enables time-uncertain time series analysis in R using an errors-in-variables approach. A stable version is not yet on CRAN but the GitHub version can be installed with:
library(devtools) # Install if not available
install_github('peterfranke/tuts')
library(tuts)
You then might like to look at the examples in help(tubfs)
for time uncertain Bayesian frequency selection, or help(tuar1)
for time uncertain Bayesian autoregressive modelling (currently only order 1), amongst others. A more complete vignette will be available shortly.
If you find tuts
useful please cite it as:
Franke, P. M., Huntley, B., & Parnell, A. C. (2018). Frequency selection in paleoclimate time series: A modelābased approach incorporating possible time uncertainty. Environmetrics, 29(2), e2492.
Or using bibles:
@article{franke2018frequency,
title={Frequency selection in paleoclimate time series: A model-based approach incorporating possible time uncertainty},
author={Franke, Peter M and Huntley, Brian and Parnell, Andrew C},
journal={Environmetrics},
volume={29},
number={2},
pages={e2492},
year={2018},
publisher={Wiley Online Library}
}
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