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
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
NeedsCompilation: no
Packaged: 2023-05-18 15:49:47 UTC; oscar
Author: Oscar Garcia [aut, cre] (<https://orcid.org/0000-0002-8995-1341>)
Maintainer: Oscar Garcia <garcia@dasometrics.net>
Repository: CRAN
Date/Publication: 2023-05-19 17:20:09 UTC
Built: R 4.4.0; ; 2024-04-29 18:19:58 UTC; unix
