Fuller display of a cpm_fit() object: adds the correlation-function weights,
the full set of fit indices, a residual summary (the largest absolute
residual and the pair it belongs to), and all boundary/identification
diagnostics in plain language. When the confidence intervals are analytic,
prints a coverage caution calibrated by simulation: unconditionally when the
sample size is modest (N < 2000, where Wald intervals mis-covered for every
configuration studied), and up to N = 50000 when the fitted solution shows a
boundary or weak-identification marker (Heywood communality, removed
harmonic, small correlation-function weight, ill-conditioning, or competing
near-tied optima), the regime where they mis-covered even at large N (see
cpm_fit()).
Usage
# S3 method for class 'circumplex_cpm'
summary(object, digits = 3, ...)