Packaged: Tue May 5 23:55:26 2009; HP_Besitzer

Title: Read and Write Ecological Metadata Language Files
person("Carl", "Boettiger", role = c("aut", "cre"),
person("Bryce", "Mecum", role = "ctb", email = "brycemecum@gmail.com"),
person("Maëlle", "Salmon", role = "ctb", email = "maelle.salmon@yahoo.se")
Description: Parse and serialize Ecological Metadata Language ('EML', see
more information) files into S4 objects.
Collate: 'classes.R' 'classes-stmml.R' 'coercions.R' 'eml_find.R'

Imports: xml2 (>= 1.1.1), methods, tools, uuid
Suggests: testthat, knitr, rmarkdown, listviewer, covr

Description: Work with Ecological Metadata Language ('EML') files.
'EML' is a widely used metadata standard in the ecological and
environmental sciences, described in Jones et al. (2006),
person("Maëlle", "Salmon", role = "ctb",
person("Jeanette", "Clark", role = "ctb",
Suggests: knitr, taxize, tibble, testthat, covr, EML, units,
Imports: xml2, methods, digest, emld (>= 0.0.0.9900), jqr, jsonlite,

Suggests: knitr, taxadb, tibble, testthat, covr, EML, units,
Imports: xml2, methods, digest, emld (>= 0.4.0), jqr, jsonlite, uuid,

Imports: xml2, methods, digest, emld (>= 0.5.0), jqr, jsonlite, uuid,

Title: Efficient Maximum Likelihood Identification
person("Vytautas", "Dulskis", email = "vytautas.dulskis@gmail.com", role = c("cre","aut")),
person("Leonidas", "Sakalauskas", email = "leonidas.sakalauskas@mif.vu.lt", role = "aut"))
Description: Provides implementations of computationally efficient maximum likelihood estimation algorithms for system identification tasks. Currently, one such algorithm is implemented which identifies the one-dimensional cumulative structural equation model with normality assumptions. The corresponding scientific paper is yet to be published, therefore the relevant reference is not available yet.
Copyright: Vilnius University Institute of Data Science and Digital

Title: Computationally Efficient Maximum Likelihood Identification of
Description: Provides implementations of computationally efficient maximum likelihood parameter estimation algorithms for models that represent linear dynamical systems. Currently, one such algorithm is implemented for the one-dimensional cumulative structural equation model with shock-error output measurement equation and assumptions of normality and independence. The corresponding scientific paper is yet to be published, therefore the relevant reference will be provided later.