c(
person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
email = "johannes.ranke@jrwb.de",
comment = c(ORCID = "0000-0003-4371-6538")),
person("Katrin", "Lindenberger", role = "ctb", comment = "contributed to mkinresplot()"),
person("René", "Lehmann", role = "ctb", comment = "ilr() and invilr()"),
person("Eurofins Regulatory AG", role = "cph", comment = "copyright for some of the contributions of JR 2012-2014"))
Calculation routines based on the FOCUS Kinetics Report (2006,
2014).  Includes a function for conveniently defining differential equation
models, model solution based on eigenvalues if possible or using numerical
solvers.  If a C compiler (on windows: 'Rtools') is installed, differential
equation models are solved using automatically generated C functions.
Heteroscedasticity can be taken into account using variance by variable or
two-component error models as described by Ranke and Meinecke (2018)
<doi:10.3390/environments6120124>.  Interfaces to several nonlinear
mixed-effects model packages are available, some of which are described by
Ranke et al. (2021) <doi:10.3390/environments8080071>.  Please note that no
warranty is implied for correctness of results or fitness for a particular
purpose.
stats, graphics, methods, deSolve, R6, inline (>= 0.3.19),
numDeriv, lmtest, pkgbuild, nlme (>= 3.1-151), purrr, saemix
(>= 3.0)

stats, graphics, methods, parallel, deSolve, R6, inline (>=
0.3.19), numDeriv, lmtest, pkgbuild, nlme (>= 3.1-151), saemix
(>= 3.1), rlang, vctrs
knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr,
vdiffr, benchmarkme, tibble, stats4, readxl

c(
person("Bulat", "Yapparov", email = "bulat.yapparov@made.com", role = c("aut", "cre")),
person("MADE.com", role = "cph")
)
Package solves multiple knapsack optimisation problem.
Given a set of items, each with volume and value,
it will allocate them to knapsacks of a given size in a way that
value of top N knapsacks is as large as possible.
testthat, mockery, Rglpk, ROI, ROI.plugin.glpk
Bulat Yapparov [aut, cre],
MADE.com [cph]