causalfragility-lab/MultiSpline-Stata: MultiSpline Stata 0.2.0

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Authors: causalfragility-lab
Cited by: 0

Abstract

MultiSpline Stata v0.2.0 New features GLMM support: binary outcomes via family(logit) and family(probit) Nakagawa-Schielzeth R2m/R2c for LMM and GLMM (correct denominator) Multilevel derivatives and turning points under all cluster structures Cluster heterogeneity diagnostics: BLUP plot + LRT (het option) Random spline slopes (randslope option) Publication-ready model summary block after every fit Auto-scaled prediction tables (no scientific notation) Near-zero variance detection with interpretive note Install Copy multispline.ado, multispline_plot.ado, multispline.sthlp to c:\ado\personal\ then in Stata: discard help multispline Companion R package install.packages("MultiSpline") -- on CRAN

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Spatial and Panel Data Analysis Advanced Causal Inference Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN