Packaged: 2020-07-13 06:22:44 UTC; haydardemirhan

Packaged: 2021-08-01 22:32:20 UTC; haydardemirhan

Packaged: 2022-02-23 05:33:26 UTC; haydardemirhan

Packaged: 2022-05-09 13:21:27 UTC; haydardemirhan

Title: Dynamic Modeling and Parameter Estimation in ODE Models
Description: The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.
Suggests: MASS, inline, rPython, rootSolve

Description: The framework provides functions to generate ODEs of reaction
networks, parameter transformations, observation functions, residual functions,
etc. The framework follows the paradigm that derivative information should be
used for optimization whenever possible. Therefore, all major functions produce
and can handle expressions for symbolic derivatives.
Suggests: MASS, rPython, deSolve, rootSolve, pander, knitr, rmarkdown

Imports: deSolve, rootSolve, ggplot2, parallel, stringr, plyr, digest,
Suggests: MASS, rPython, pander, knitr, rmarkdown

Imports: deSolve, rootSolve, ggplot2, parallel, stringr, plyr

Imports: deSolve, rootSolve, ggplot2, parallel, stringr, plyr, dplyr,

and can handle expressions for symbolic derivatives. The methods used in dMod
were published in Kaschek et al, 2019, <doi:10.18637/jss.v088.i10>.
Suggests: MASS, reticulate, pander, knitr, rmarkdown

Title: Automated Analysis of Multiplex Digital PCR Data
Authors@R: c(person(given = "Alfonso", family = "De Falco",
person(given = "Michel", family = "Mittelbronn", role = c("ctb")),
person(given = "Christophe", family = "Olinger", role = c("ctb")),
person(given = "Daniel", family = "Stieber", role = c("ctb")),
person(given = "Laboratoire national de santé", role = c("cph")))
Description: The automated clustering and quantification of the digital PCR
data is based on the combination of 'DBSCAN' (Hahsler et al. (2019)
The analysis is independent of multiplexing geometry, dPCR system,
The details about input data and parameters are available in the
Imports: dbscan, e1071, exactci, ggplot2, ggpubr, graphics, raster,
rlist, scales, shiny, shinyjs, stats, stringr, utils
Author: Alfonso De Falco [aut, cre] (<https://orcid.org/0000-0001-9985-9920>),
Maintainer: Alfonso De Falco <alfonso.defalco@lns.etat.lu>