# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "EpiNova" in publications use:' type: software license: MIT title: 'EpiNova: Flexible Extended State-Space Epidemiological Models with Modern Inference' version: 0.1.0 identifiers: - type: doi value: 10.32614/CRAN.package.EpiNova abstract: An extended epidemiological modelling framework that goes beyond the classical SIR (Susceptible-Infectious-Recovered) model. Supports SEIR (Susceptible-Exposed-Infectious-Recovered), SEIRD (Susceptible-Exposed-Infectious-Recovered-Deceased), SVEIRD (Susceptible-Vaccinated-Exposed-Infectious-Recovered-Deceased), and age-stratified compartmental models with flexible intervention functions (spline-based, Gaussian process, or user-defined). Inference is available via maximum likelihood or sequential Monte Carlo (SMC, also known as particle filtering) with no external binary dependencies. Includes a dependency-free real-time effective reproduction number (Rt) estimator, spatial multi-patch models with gravity-model mobility, ensemble forecasting via Bayesian model averaging (BMA), and proper scoring rules including CRPS (Continuous Ranked Probability Score), coverage, and MAE (Mean Absolute Error) for forecast evaluation. Methods follow Anderson and May (1991, ISBN:9780198545996), Doucet, de Freitas, and Gordon (2001) , Cori et al. (2013) , and Gneiting and Raftery (2007) . authors: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677 preferred-citation: type: manual title: 'EpiNova: Flexible Extended State-Space Epidemiological Models with Modern Inference' authors: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677 year: '2025' notes: R package version 0.1.0 url: https://github.com/causalfragility-lab/EpiNova repository: https://causalfragility-lab.r-universe.dev repository-code: https://github.com/causalfragility-lab/EpiNova commit: eca7c999dbecddebb85f34cb0475af16f88940ba url: https://github.com/causalfragility-lab/EpiNova date-released: '2026-04-21' contact: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677