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pams 0.2.0
User interface
BootSmacof() now returns an object of class
pams_fit while retaining all previously available
named-list components.- Added
plot.pams_fit(), summary.pams_fit(),
print.pams_fit(), and print.summary.pams_fit()
methods.
- Corrected the documented and implemented default transformation to
type = "ordinal".
Reliability and
documentation
- Added systematic validation for data, profile count, directions,
confidence level, bootstrap count, participant indices, labels, and
choice arguments.
- Added an explicit warning when fewer than 1,000 bootstrap samples
are used.
- Made BCa calculations robust to boundary bias estimates and zero
jackknife acceleration denominators.
- Applied sign alignment to both bootstrap and jackknife
configurations.
- Clarified that person weights are unstandardized no-intercept OLS
coefficients and that
corDim values are partial
correlations.
- Added explicit documentation of sign indeterminacy and the absence
of general rotational or dimension-permutation alignment.
- Added a worked vignette, automated tests, and a multi-platform
GitHub Actions R CMD check workflow.
- Updated the maintainer address to
sekangandroid@gmail.com.
- Added optional vignette and tidy-tabular dependencies under
Suggests.
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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