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mixediffusion  

Mixed-Effects Diffusion Models with General Drift
View on CRAN: Click here


Download and install mixediffusion package within the R console
Install from CRAN:
install.packages("mixediffusion")

Install from Github:
library("remotes")
install_github("cran/mixediffusion")

Install by package version:
library("remotes")
install_version("mixediffusion", "1.0.0")



Attach the package and use:
library("mixediffusion")
Maintained by
Pedro Abraham Montoya Calzada
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-20
Latest Update: 2026-03-20
Description:
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.
How to cite:
Pedro Abraham Montoya Calzada (2026). mixediffusion: Mixed-Effects Diffusion Models with General Drift. R package version 1.0.0, https://cran.r-project.org/web/packages/mixediffusion. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 1.0.0 (2026-03-20 11:30)
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Complete documentation for mixediffusion
Functions, R codes and Examples using the mixediffusion R package
Full mixediffusion package functions and examples
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