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cff-version: 1.2.0
message: 'To cite package "jmSurface" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'jmSurface: Semi-Parametric Association Surfaces for Joint Longitudinal-Survival
  Models'
version: 0.1.0
doi: 10.32614/CRAN.package.jmSurface
abstract: Implements interpretable multi-biomarker fusion in joint longitudinal-survival
  models via semi-parametric association surfaces. Provides a two-stage estimation
  framework where Stage 1 fits mixed-effects longitudinal models and extracts Best
  Linear Unbiased Predictors ('BLUP's), and Stage 2 fits transition-specific penalized
  Cox models with tensor-product spline surfaces linking latent biomarker summaries
  to transition hazards. Supports multi-state disease processes with transition-specific
  surfaces, Restricted Maximum Likelihood ('REML') smoothing parameter selection,
  effective degrees of freedom ('EDF') diagnostics, dynamic prediction of transition
  probabilities, and three interpretability visualizations (surface plots, contour
  heatmaps, marginal effect slices). Methods are described in Bhattacharjee (2025,
  under review).
authors:
- family-names: Bhattacharjee
  given-names: Atanu
  email: atanustat@gmail.com
  orcid: https://orcid.org/0000-0002-5757-5513
repository: https://atanubhattacharjee.r-universe.dev
commit: 8ca3b43ec6504fe1e9e0e6075f1779056d2cd5fd
date-released: '2026-02-25'
contact:
- family-names: Bhattacharjee
  given-names: Atanu
  email: atanustat@gmail.com
  orcid: https://orcid.org/0000-0002-5757-5513