samplr 1.1.1
- Bugfixes:
Mean_Variance() function now returns as many rows as
IDs (used to return too many)
- Minor:
- Adds citation information to README
- Removes
latex2exp dependency
- Fixes invalid URL in samplr.Rmd
- Substitutes http links for https
samplr 1.1.0
- New features:
Zhu23ABS() now can return estimates when using relative
stopping rule.
- The
Bayesian_Sampler() function can now be used to not
only return expected predictions but also
- expected variance
- simulated predictions.
calc_PSD() now returns a named vector in
$polyfit, so users know what’s the intercept and what’s the
slope
calc_PSD() now filters frequencies within a range, as
done in previous literature (Gilden, 1995; Zhu et al., 2022)
- Minor:
- Fixes documentation of some functions not including the reference
list.
samplr 1.0.1
- Fixes float comparisons using
!= and thus not passing
tests in some OS.
samplr 1.0.0