model_report() assembles a structured, publication-oriented report from
the Rust artifact fields carried by a fitted model plus R-owned provenance
such as the call and session metadata. reporting_table() extracts one
section as a data-frame-compatible object.
Usage
model_report(fit, sections = "all", ...)
# S3 method for class 'mm_fit'
model_report(fit, sections = "all", ...)
reporting_table(object, section = "all", view = c("compact", "audit"), ...)
# S3 method for class 'mm_fit'
reporting_table(object, section = "all", view = c("compact", "audit"), ...)
# S3 method for class 'mm_model_comparison'
reporting_table(
object,
section = "comparison_ledger",
view = c("compact", "audit"),
...
)
# S3 method for class 'mm_drop1'
reporting_table(
object,
section = "comparison_ledger",
view = c("compact", "audit"),
...
)
# S3 method for class 'mm_random_effect_test'
reporting_table(object, section = "all", view = c("compact", "audit"), ...)Arguments
- fit
A fitted
mm_fit, usually fromlmm().- sections
Character vector of report sections, or
"all".- ...
Reserved for future methods.
- object
For
reporting_table(): a fittedmm_fit, anmm_model_report, or a comparison/test object with a durable ledger.- section
One section name, or
"all".- view
"compact"for reader-facing columns, or"audit"for the full provenance table withsource,reason,details, and related audit columns.