import_toxswa()
: now supports scaling of
imported time series, importing selected TOXSWA output
variables, as well as importing selected substance concentrationsimport_exposure_text()
moved to the
cvasi.ui packageplot_ppc()
morse()
renamed to import_morse()
, the
function now supports loading parameter sets from morse objects
directly, as well as from .RData and .RDS filesimport_morse()
renamed to a more
canonical standard, i.e. find.IT
to find_it
,
find.SD
to find_sd
and so forth. Using the old
parameter names still works but will raise a warning.plot()
to depict return
values of functions such as simulate()
and
dose_response()
Lemna_SETAC()
model by Klein et
al. was integrated into the package. This removes package
lemna
as a dependency.Lemna_SETAC()
were modified to
ease scenario creation and to reflect common study conditions:
0.0012
k_photo_fixed=TRUE
temp=12
, irradiance (kJ m-2 d-1) irr=15000
,
Phosphorus concentratio (mg P L-1) P=0.3
, Nitrogen
concentration (mg N L-1) N=0.6
. These defaults only take
effect if parameter k_photo_fixed=FALSE
.lik_profile()
based on
the routines described by Tjalling Jager (doi: 10.1002/ieam.4333) and
implemented in BYOMsurvival()
has been deprecated. Survival
probabilities of affected models are now part of the return value of
simulate()
.DEB_Daphnia()
has been superseded by the
more appropriatly named DEBtox()
. The former function is
still available, but will show a warning when used.DEBtox()
model equations have been updated to
conform with BYOM’s DEBtox 2019 module version
4.7.param.bounds
was added to effect scenario
classes to store valid parameter ranges of commonly fitted model
parameters. The information is currently only used in likelihood
profiling.set_bounds()
to set or modify parameter
bounds for one or more scenarios or calibration sets.calibrate()
must
accept four arguments; the error function will be supplied with all
observed and predicted values in one call. The two additional parameters
represent optional weights and study IDs.calibrate()
tag
was added to calibration set
classes to store additional metadata such as study IDs. The information
will be passed on to the error function by
calibrate()
.caliset()
. The former CalibrationSet()
is
still available, but will show a warning when used.morse
removed (temporarily) as suggested package,
because it was archived by CRANplot_scenario()
calibrate()
Algae_TKTD()
harmonized with
Algae_Simple()
model equationsInitial public release