knitr, taxadb, tibble, testthat, covr, EML, units,
htmlwidgets, shiny, shinyjs, spelling
xml2, methods, digest, emld (>= 0.4.0), jqr, jsonlite, uuid,
rmarkdown, utils, dplyr

xml2, methods, digest, emld (>= 0.5.0), jqr, jsonlite, uuid,
rmarkdown, utils, dplyr

c(
person("Vytautas", "Dulskis", email = "vytautas.dulskis@gmail.com", role = c("cre","aut")),
person("Leonidas", "Sakalauskas", email = "leonidas.sakalauskas@mif.vu.lt", role = "aut"))
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.
Vilnius University Institute of Data Science and Digital
Technologies
Vytautas Dulskis [cre, aut],
Leonidas Sakalauskas [aut]

Computationally Efficient Maximum Likelihood Identification of
Linear Dynamical Systems
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.

End-member modelling algorithm and supporting functions for
grain-size analysis
This package provides a set of functions for convenient
end-member modelling analysis of grain size-data (EMMAgeo).
R (>= 3.0.1), GPArotation, limSolve, shape

This package provides a set of functions for convenient end-member modelling analysis of grain-size data (EMMAgeo).

End-member modelling analysis of grain-size data.
R (>= 3.2.1), GPArotation, limSolve, shape, shiny
"check.data.R" "convert.units.R" "create.EM.R"
"define.limits.R" "EMMAgeo-internal.R" "EMMAgeo-package.R"
"EMMA.R" "get.limits.R" "get.l.opt.R" "get.l.R" "get.q.R"
"GUI.R" "interpolate.classes.R" "mix.EM.R" "model.em.R"
"Mqs.uncertainty.R" "residual.EM.R" "robust.EM.R"
"test.factors.R" "test.l.R" "test.l.max.R" "test.parameters.R"
"test.robustness.R"