testthat (>= 2.0.1), knitr (>= 1.2.0), roxygen2 (>= 6.1.1),
rmarkdown (>= 1.10), landscapemetrics (>= 1.5.4), raster (>=
3.5), rgdal, vegan (>= 2.5.7), cluster (>= 2.1.2), ggthemes,
paletteer

Debugging with restore points instead of break points. A restore
point stores all local variables when called inside a function. The stored
values can later be retrieved and evaluated in a modified R console that
replicates the function's environment. To debug step by step, one can
simply copy & paste the function body from the R script. Particularly
convenient in combination with RStudio. See the github page for a tutorial.

Debugging with restore points instead of break points. A
restore point stores all local variables when called inside a
function. The stored values can later be retrieved and
evaluated in a modified R console that replicates the
function's environment. To debug step by step, one can simply
copy & paste the function body from the R script. Particularly
convenient in combination with RStudio.

Sebastian Kranz [aut, cre], Roman Zenka [ctb]
Debugging with restore points instead of break points. A restore
point stores all local variables when called inside a function. The stored
values can later be retrieved and evaluated in a modified R console that
replicates the function's environment. To debug step by step, one can simply
copy & paste the function body from the R script. Particularly convenient
in combination with "RStudio". See the "Github" page inst/vignettes for a
tutorial.

Multivariate Normal Restricted by Affine Constraints
A fast Gibbs sampler for multivariate normal with affine constraints.

Restricted Statistical Estimation and Inference for Linear
Models
c(person(given = "Leonard", family = "Vanbrabant",
role =  c("aut","cre"),
email = "Leonard.Vanbrabant@Ugent.be")
)
Allow for easy-to-use testing of linear equality and inequality
restrictions about parameters and effects in linear, robust linear and generalized linear statistical models.
boot, ic.infer, lavaan, MASS, mvtnorm, quadprog