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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

• Initial CRAN submission.

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.