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Fixed an incorrect mode formula in mode_ctp() and
mode_zictp(). The previous implementation used a naive
“round to nearest integer” rule that could return the wrong mode (e.g.,
returning 1 when the true mode was 0). Both functions now use the
correct threshold-based rule.
Fixed incorrect variance and skewness formulas in
var_ctp() and skew_ctp(). The previous
implementation used an incorrect algebraic combination of terms.
var_zictp() and skew_zictp() required no
changes and inherit the fix automatically, since they are built directly
on var_ctp() and skew_ctp().
Added an explicit validity check (gama > 0) to
ctp.fit() and zictp.fit(). This closes a
narrow edge case in the internal parameter reparameterization where
sufficiently extreme starting conditions could otherwise allow an
invalid (non-positive) gama during optimization. Typical
fits to well-behaved data are unaffected.
tests/testthat/test-moments.R now contains a full suite
of regression tests for mean_ctp(), var_ctp(),
skew_ctp(), mode_ctp(), and their
zero-modified counterparts, including a Monte Carlo cross-check of the
skewness formula against simulated data from rzictp().If you used var_ctp(), skew_ctp(),
var_zictp(), skew_zictp(),
mode_ctp(), or mode_zictp() in version 0.1.1
or earlier, results from those functions will differ under 0.1.2 – the
new results are correct. We recommend re-running any analysis that
relied on their numeric output.
mean_ctp(),
var_ctp(), skew_ctp(),
mode_ctp(), mean_zictp(),
var_zictp(), skew_zictp(),
mode_zictp(). These were previously computed only
internally within summary.ctpfit() and
summary.zictpfit().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.
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