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has been superseded by the more appropriatly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