NEWS

pams 0.2.0 (2026-10-06)

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".

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.