# Inference and Analysis for Diffusion Processes via Data Imputation and Method of Lines

## Documentation for package ‘DiffusionRimp’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

DiffusionRimp-package | Data-imputation and density approximations for diffusion processes.
BiMOL.aic | Calculate a Pseudo AIC Value for a Bivariate Diffusion Model via the Method of Lines
BiMOL.density | Approximate the Transition Density of a Bivariate Diffusion with Arbitrary Drift and Volatility Specification
BiMOL.passage | Approximate the First Passage Time Density of a Four-Barrier Problem for Time-Homogeneous Bivariate Diffusions.
BiRS.impute | Brownian Bridge Data Imputation for Bivariate Diffusion Processes.
DiffusionRimp | Data-imputation and density approximations for diffusion processes.
DoubleWell | Simulted Double Well with Shifting Modality
junkfunction3 | A Junk Funktion For Build Purposes
MOL.aic | Calculate a Pseudo AIC Value for a Diffusion Model via the Method of Lines
MOL.density | Approximate the Transition Density of a Scalar Diffusion with Arbitrary Drift and Volatility Specification
MOL.passage | Approximate the First Passage Time Density of a Two-Barrier Problem for Time-Homogeneous Scalar Diffusions.
MOL.plot | Quick Plots for DiffusionRimp Objects
RS.estimates | Extract Parmaeter Estimates from '.impute()' Objects.
RS.impute | Brownian Bridge Data Imputation for Scalar Diffusion Processes.
TiCIR | Simulated Bivariate Time In-Homogeneous CIR process.