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mixediffusion: Mixed-Effects Diffusion Models with General Drift
Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
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Package details |
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| Author | Pedro Abraham Montoya Calzada [aut, cre, cph] (ORCID: <https://orcid.org/0009-0002-3497-210X>), Rogelio Salinas Gutiérrez [aut, cph] (ORCID: <https://orcid.org/0000-0002-1669-4460>), Silvia Rodríguez-Narciso [aut, cph] (ORCID: <https://orcid.org/0000-0001-5429-5914>), Netzahualcóyotl Castañeda-Leyva [aut, cph] (ORCID: <https://orcid.org/0000-0001-9414-3923>) |
| Maintainer | Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com> |
| License | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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