The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
sTSD:
Simulate Time Series Diagnostics
{sTSD} provides a suite of functions for the analyses of
time series, with an initial focus on diagnostic tests for unit root.
Its primary aim concerns the simulation of critical values that are
almost always approximated or interpolated by reference to tables of
critical values passed down from decades-old texts. While there is
nothing necessarily wrong with the received wisdom of critical values
generated decades ago, simulation provides its own perks. Not only is
simulation broadly informative as to what these various test statistics
do and what are their plausible values, simulation provides more
flexibility for assessing unit root by way of different thresholds or
different hypothesized distributions.
This package is now on CRAN. You can download it as you would any other R package.
install.packages("sTSD")You can also install the development version of {sTSD}
from Github via the {devtools} package. I suppose using the
{remotes} package would work as well.
devtools::install_github("svmiller/sTSD")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.