| ltgsmd-package | R Documentation |
Implements the LTG-SMD framework for two-group effect-size analysis. The LTG-SMD is a standardized mean difference whose denominator is the geometric mean of group-specific true-score standard deviations in an explicitly chosen target reference population. The package supports single-study analyses with internal holdout references, analyses with external norm samples, and multi-site coordinated-replication analyses with cross-site pooled references.
compute_ltg_smd()Compute the LTG-SMD and four conventional comparators (Hedges's g, Welch-type SMD, observed geometric SMD, external observed SMD) from study and reference data.
ltg_smd_ci()Analytic delta-method and bias-corrected (BC) or BCa nonparametric bootstrap confidence intervals.
denominator_diagnostics()Table F.1 diagnostics for reporting (Section 8.3 of the paper).
denominator_sensitivity()Profile across six symmetric denominators (Simulation D; Section 5.3 of the paper).
sensitivity_reference()Sensitivity to the choice of target reference.
multisite_ltg_smd()Multi-site analysis with cross-site pooled reference and meta-analytic comparison.
export_supplementary()Bundle diagnostics, CIs, and sensitivity profiles for a supplementary appendix.
Nakamura, D. (2026). The denominator chooses the estimand: A target-population true-score framework for standardized mean differences. Psychological Methods. Advance online publication. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/met0000875")}
Run citation("ltgsmd") for this reference in text and BibTeX form.
See the package vignette
vignette("getting-started", package = "ltgsmd") for worked examples
corresponding to Sections 6.1, 6.2, and 6.3 of the paper.
Maintainer: Daiki Nakamura nakamura@miyazaki-u.ac.jp (ORCID)
Authors:
Daiki Nakamura nakamura@miyazaki-u.ac.jp (ORCID)
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