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vmgeomVstFromMagn() and
vmidealVstFromMagn() by tightening the interpolation steps
used during the variance-stabilising transforms.vmtable() rounding routine to reduce
allocations.inst/derivation/
to improve reproducibility.load_vmdb() regression tests.This release introduces variance-stabilizing transformations for
ideally distributed visual meteor magnitudes
(vmidealVstFromMagn()) as well as for visual meteor
magnitudes under a geometric distribution
(vmgeomVstFromMagn()).
This release introduces variance-stabilizing transformations for the
ideal distribution of visual meteor magnitudes
(vmidealVstFromMagn()) as well as for visual meteor
magnitudes under a geometric distribution
(vmgeomVstFromMagn()).
The function vmperception() now better matches the
perception probabilities of Koschack & Rendtel
(1990b).
The argument deriv.degree has been removed, as it was only
intended for internal testing and had no practical relevance for regular
use.
Laplace-transformed perception probabilities have been replaced by
variance-stabilizing transformations, which also means that the function
vmperception.l() has been removed.
Note: This release includes breaking changes and is not fully backward compatible due to the removal of parameters and functions.
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.