resde: Estimation in Reducible Stochastic Differential Equations (original) (raw)
Maximum likelihood estimation for univariate reducible stochastic differential equation models. Discrete, possibly noisy observations, not necessarily evenly spaced in time. Can fit multiple individuals/units with global and local parameters, by fixed-effects or mixed-effects methods. Ref.: Garcia, O. (2019) "Estimating reducible stochastic differential equations by conversion to a least-squares problem", Computational Statistics 34(1): 23-46, <doi:10.1007/s00180-018-0837-4>.
Version: | 1.1 |
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Imports: | stats, Deriv, nlme, methods |
Suggests: | knitr |
Published: | 2023-05-19 |
DOI: | 10.32614/CRAN.package.resde |
Author: | Oscar Garcia [aut, cre] |
Maintainer: | Oscar Garcia |
BugReports: | https://github.com/ogarciav/resde/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/ogarciav/resde/ |
NeedsCompilation: | no |
Citation: | resde citation info |
Materials: | |
In views: | DifferentialEquations, TimeSeries |
CRAN checks: | resde results |
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