# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "MultiSpline" in publications use:'
type: software
license: GPL-3.0-only
title: 'MultiSpline: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal
  Data'
version: 0.2.0
doi: 10.32614/CRAN.package.MultiSpline
abstract: Provides a unified framework for fitting, predicting, and interpreting nonlinear
  relationships in single-level, multilevel, and longitudinal regression models. Flexible
  functional forms are supported using natural cubic splines ('splines'), B-splines
  ('splines'), and GAM smooths ('mgcv'). Supports two-way and nested clustering via
  'lme4', automatic knot selection by AIC or BIC, multilevel R-squared decomposition
  (Nakagawa-Schielzeth marginal and conditional R-squared with level-specific variance
  partitioning), a postestimation suite returning first and second derivatives with
  confidence bands, turning points and inflection regions, and a model comparison
  workflow contrasting linear, polynomial, and spline fits by AIC, BIC, and likelihood-ratio
  tests. Cluster heterogeneity in nonlinear effects is supported via random-slope
  spline terms.
authors:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677
repository: https://causalfragility-lab.r-universe.dev
repository-code: https://github.com/causalfragility-lab/MultiSpline
commit: c2b025e42c8310d90c50931d4262925e5296f566
url: https://github.com/causalfragility-lab/MultiSpline
date-released: '2026-04-16'
contact:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677