Package: resde
Title: Estimation in Reducible Stochastic Differential Equations
Version: 1.1
Authors@R: 
    person(given = "Oscar",
           family = "Garcia",
           role = c("aut", "cre"),
           email = "garcia@dasometrics.net",
           comment = c(ORCID = "0000-0002-8995-1341"))
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = FALSE)
RoxygenNote: 7.2.3
Imports: stats, Deriv, nlme, methods
Suggests: knitr
VignetteBuilder: knitr
URL: https://github.com/ogarciav/resde/
BugReports: https://github.com/ogarciav/resde/issues
Repository: https://ogarciav.r-universe.dev
Date/Publication: 2023-05-20 01:29:13 UTC
RemoteUrl: https://github.com/ogarciav/resde
RemoteRef: HEAD
RemoteSha: 776449729e833359250d13c83a1cb81b18a070e8
NeedsCompilation: no
Packaged: 2026-06-22 07:48:51 UTC; root
Author: Oscar Garcia [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8995-1341>)
Maintainer: Oscar Garcia <garcia@dasometrics.net>