select_knots() performs forward/backward stepwise
selection of spline knots from a candidate set, scoring each fit with a
user-supplied function (e.g. AIC/BIC). Backward selection supports a
“bulk removal” mode, and scoring can run in parallel via the
parallel package. See ?select_knots and
vignette("select_knots").All public identifiers were migrated from dotted / camelCase to
snake_case to match the tidyverse / r-lib convention and to
remove visual confusion with S3 dispatch (print.foo). This
affects exported functions, function parameters, and
data.frame columns returned by load_vmdb_*()
and the example datasets PER_2015_rates /
PER_2015_magn (which were regenerated).
The d/p/q/r distribution prefixes (dvmgeom,
pvmideal, …) are unchanged, and lower.tail is
preserved to match base R conventions.
Renamed exported functions:
| 2.1.0 | 3.0.0 |
|---|---|
freq.quantile |
freq_quantile |
vmgeomVstFromMagn |
vmgeom_vst_from_magn |
vmgeomVstToR |
vmgeom_vst_to_r |
vmidealVstFromMagn |
vmideal_vst_from_magn |
vmidealVstToPsi |
vmideal_vst_to_psi |
Renamed parameters: lim.magn, magn.id,
rate.id, session.id,
perception.fun, sun.alt.max,
moon.alt.max, deriv.degree,
withSessions, withMagnitudes → their
snake_case forms.
The imo-vmdb API already uses snake_case, so column remapping is
reduced to a few semantic renames: id →
rate_id / magn_id / session_id
(so foreign keys in the same data frame stay unambiguous) and
mean → magn_mean (to avoid shadowing base R
mean()). Three columns that previously carried R-specific
names now pass through unchanged from the API:
| 2.1.0 | 3.0.0 |
|---|---|
shower.code |
shower |
radiant.alt |
rad_alt |
radiant.az |
rad_az |
perception_fun now defaults to
vmperception instead of NULL with an internal
fallback. Callers that explicitly passed
perception.fun = NULL must drop the argument or supply a
function.vmperception(m) is now vmperception(dm) —
the parameter is the difference between the limiting magnitude and the
meteor magnitude, and the new name reflects that. Positional calls
remain compatible.A sed sweep of your scripts is usually sufficient:
sed -i '' -E '
s/\bfreq\.quantile\b/freq_quantile/g;
s/\bvmgeomVstFromMagn\b/vmgeom_vst_from_magn/g;
s/\bvmgeomVstToR\b/vmgeom_vst_to_r/g;
s/\bvmidealVstFromMagn\b/vmideal_vst_from_magn/g;
s/\bvmidealVstToPsi\b/vmideal_vst_to_psi/g;
s/\blim\.magn\b/lim_magn/g;
s/\bmagn\.id\b/magn_id/g;
s/\brate\.id\b/rate_id/g;
s/\bsession\.id\b/session_id/g;
s/\bperception\.fun\b/perception_fun/g;
s/\bderiv\.degree\b/deriv_degree/g;
s/\bwithSessions\b/with_sessions/g;
s/\bwithMagnitudes\b/with_magnitudes/g;
s/\bshower\.code\b/shower/g;
s/\bperiod\.start\b/period_start/g;
s/\bperiod\.end\b/period_end/g;
s/\bsl\.start\b/sl_start/g;
s/\bsl\.end\b/sl_end/g;
s/\bt\.eff\b/t_eff/g;
s/\btime\.sidereal\b/sidereal_time/g;
s/\bsun\.alt\b/sun_alt/g;
s/\bsun\.az\b/sun_az/g;
s/\bmoon\.alt\b/moon_alt/g;
s/\bmoon\.az\b/moon_az/g;
s/\bmoon\.illum\b/moon_illum/g;
s/\bfield\.alt\b/field_alt/g;
s/\bfield\.az\b/field_az/g;
s/\bradiant\.alt\b/rad_alt/g;
s/\bradiant\.az\b/rad_az/g;
s/\bmagn\.mean\b/magn_mean/g;
s/\blocation\.name\b/location_name/g;
s/\bobserver\.id\b/observer_id/g;
s/\bobserver\.name\b/observer_name/g;
' your-script.Rload_vmdb_rates() and
load_vmdb_magnitudes() now connect to an imo-vmdb REST API instead
of a direct database connection.period, sl, and
lim_magn (previously a matrix with multiple rows that were
OR-joined) are no longer supported. Each filter is collapsed to a single
bounding min/max. Use multiple calls combined with rbind()
if disjoint ranges are needed.|> and
\().vmgeom and
vmideal models, including improved mathematical notation
and explanations.vmgeom_vst_from_magn() and
vmideal_vst_from_magn() 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 the
ideal distribution of visual meteor magnitudes
(vmideal_vst_from_magn()) as well as for visual meteor
magnitudes under a geometric distribution
(vmgeom_vst_from_magn()).
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.