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mixediffusion

1.0.1

Mixed-Effects Diffusion Models with General Drift

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Overview

About
Maintained by Pedro Abraham Montoya CalzadaFirst published 2026-03-202 releasesCRAN page ↗

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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13OK
Slowest check: 2.0 min · r-devel-linux-x86_64-fedora-clang
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  • OK2026-03-21
    5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.5
Imports (2)
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Suggests (1)
Enhances (0)
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Code & Tests

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People & History

People (4)
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Authors (4)
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Package Timeline

2 releases. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-04-10 · current release · diff ↗
  • 1.0.0
    2026-03-20
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-20
Total releases
2 / 1 yrs
License
GPL-3 OSI
Download size
not tracked yet
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