Mixed-Effects Diffusion Models with General Drift // Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectationmaximization (EM) algorithms. The package supports Wiener and OrnsteinUhlenbeck 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.