newSingleSpeciesParams()
for creating a single species in a power-law background.animateSpectra()
creating an animated plot of a simulation.addSpecies()
, removeSpecies()
and renameSpecies()
.setComponent()
can now take any form, they no longer have to be a named list.return_data
in the plot’s functions allows to return the data frame used for the ggplot instead of the plot.steady()
no longer switches off the Beverton-Holt density dependence. You can do this manually with setBevertonHolt()
with R_factor = Inf
.getYield()
now also works with density-dependent fishing mortality. Thanks to James Roger for discovering the problem.gamma
argument now is no longer ignored in newTraitParams()
but correctly overrides the f0
argument. #188getFMort()
again works correctly when called with a MizerSim object.resource_semichemostat()
no longer fail when at some sizes both the resource growth rate and the resource mortality rate are both zero.no_w
in newTraitParams()
is now always an integer.w_min_idx
should point to the start of the size bin containing the egg size w_min
”.valid_species_arg()
is called with species = NULL
and there are no background species then it returns NULL
.getDiet()
and plotDiet()
.projectToSteady()
to run the full dynamics to steady state.distanceSSLogN()
and distanceMaxRelRDI()
to measure distance between two states.compareParams()
to compare two MizerParams objects.constantEggRDI()
to allow keeping egg densities fixed.customFunction()
to allow users to overwrite mizer functions.plotGrowthCurves
as a panel of species with their respective Von Bertalanffy curvesplotPredMort()
and plotFMort
will stop displaying mortality values past the species’ asymptotic size. The argumentall.sizes
allows you to continue to show these values.getFMort()
now passes time argument correctly. #181validEffortArray()
now sets the dimnames correctly. #173lifecycle
package to indicate status of some functions and arguments as ‘experimental’ or ‘deprecated’.setFishing()
. #172species
argument in mizer functions, via the new valid_species_arg()
function. #170setInitialValues()
min_w_pp
is larger than min_w
t
passed to dynamics functions has been corrected.setReproduction()
now correctly sets the the total proportion psi when the maturity proportion is changed.project()
has been simplified. They are now either set by the arguments t_start
, t_max
and t_save
or by the dimension names of the effort
array.setRmax()
to setBevertonHolt()
and allow it to work on an arbitrary MizerParams object. The old name setRmax()
is still available as alias.mizerFMort()
now can also use the abundances and the rates e_growth
and pred_mort
. This is useful for example for implementing balanced harvesting.gear_params
is allowed to have zero rows.validGearParams()
the species name is used as gear name in case gear_name
is NA.validGearParams()
ensures that all required arguments of the selectivity function are supplied and checks validity of species names.species_params()<-
suppresses warnings.steady()
fails because RDI is zero it gives a meaningful error message.newCommunityParams()
now protects its zero investment in reproduction with a comment.valid_species_arg()
checks validity of species selection arguments.upgradeParams()
can now also upgrade old MizerParams objects that do not have a consistent initial_effort
.validParams()
validates a MizerParams object and automatically upgrades it with upgradeParams()
if necessary.project()
or steady()
, #163.getRates()
to calculates all rates and collects them in a list.steady()
with return_sim = TRUE
now creates the MizerSim object the same way as project()
, namely with the original values in the first time slot.species_params()
, gear_params()
and resource_params()
.project()
.getRates()
functions by removing the arguments that passed in other rates. Instead the required rates are now always calculated within these functions.validGearParams()
handle NAs more gracefully and check that there are no duplicates.upgradeParams()
works also on params objects that were created with a development version of mizer.upgradeParams()
does a better job at guessing the value for w_pp_cutoff
.getFeedingLevel()
, getPredMort()
, setInitialValues()
and steady()
now work also when model has extra components.plotFeedinglevel()
when called with include_critical = TRUE
, see #162.species_params
is a tibble.params()
, effort()
and times()
to getParams()
, getEffort()
and getTimes()
to avoid conflicts.getDiet()
also takes into account possible contributions by user-defined other components.project()
is called with t_max < t_save
then t_save
is automatically reduced so that the result at t_max
will get saved.project()
.project_simple()
that projects a given number of time steps. This might be useful to extension writers....
argument to project()
is passed on to the dynamics and rate functions.steady()
runs faster by using project_simple()
.summary()
now also works with non-default feeding kernels. #159validSpeciesParams()
no longer fails when w_mat25
is not specified. #160setInitialValues()
also works in a model with only a single species. #161resource_params()<-
now works and has unit tests.Some inconsistencies in the choice of names for parameters was removed by renaming
interaction_p
-> interaction_resource
r_resource
-> resource_rate
K_resource
-> resource_capacity
other_params()<-
and other_params()
for setting and getting other parameters, for example to be used in user-defined rate functions.setInitialValues()
also sets initial_effort
. #157This is a major new release with many new features, an internal refactoring of the code and a new extension mechanism.
Nevertheless this version of mizer is almost fully backwards compatible with version 1.0 with the exception of bug fixes and the following breaking changes:
print_it
argument from plot functions.plotFeedingLevel()
now only plots the values within the size range of each species. If for some reason you want the old plots that show a feeding level also for sizes that the fish can never have, you need to supply an argument all.sizes = TRUE
.RDD
argument in setReproduction()
.sex_ratio
argument has been removed from getRDI()
and getRDD()
.set_scaling_model()
function has been removed because such models can now be set up with newTraitParams()
with the options perfect_scaling = TRUE
and egg_size_scaling = TRUE
.display_frames()
, addSpecies()
, setBackground()
and retuneAbundance()
have been removed to the “mizerExperimental” package (https://sizespectrum.org/mizerExperimental/)project()
a progress bar is displayed by default. You can turn this off with the option `progress_bar = FALSE.The new functions
newCommunityParams()
newTraitParams()
newMultispeciesParams()
replace the old functions set_community_model()
, set_trait_model()
and MizerParams()
, which are now deprecated. The new functions choose better default values, in particular for metabolic rate and maximum intake rate.
After setting up a mizer model, it is possible to change specific model parameters with the new functions
species_params<-()
resource_params<-()
gear_params<-()
setPredKernel()
setSearchVolume()
setInteraction()
setMaxIntakeRate()
setMetabolicRate()
setExtMort()
setReproduction()
setFishing()
setResource()
The new function setParams()
is a wrapper for all of the above functions and is also used when setting up a new model with newMultispeciesParams()
. (#51)
The documentation for these functions serves to explain the details of the mizer model.
Along with these setter functions there are accessor functions for getting the parameter arrays: getPredKernel()
, getSearchVolume()
, getInteraction()
, getMaxIntakeRate()
, getMetabolicRate()
, getExtMort()
, getMaturityProportion()
, getReproductionProportion()
, getCatchability()
, getSelectivity()
, getResourceRate()
, getResourceCapacity()
, getResourceParams()
, getResourceDynamics()
,
setRmax()
.The MizerParams object now also contains the initial values for the size spectra. This is particularly useful if the model has been tuned to produce the observed steady state. The new function steady()
finds a steady state for a model and sets it as the initial value. The initial values can be accessed and changed via functions initialN()
and initialNResource()
. The initial values can be set to the final values of a previous simulation with setInitialValues()
.
The MizerParams object now has a slot initial_effort
that specifies the initial fishing effort to which the steady state has been calibrated.
Mizer now has an extension mechanism that allows other R packages to be written to generalise the mizer model. See setRateFunction()
and setComponent()
. This mechanism is still experimental and may change as we gain experience in writing extensions for mizer.
plotlyBiomass()
as the plotly version of plotBiomass()
, and so on.plotGrowthCurves()
plots growth curves and compares them to the von Bertalanffy growth curve.plotDiet()
plots the diet composition as a function of predator size.highlight
argument to all plot functions that display curves for multiple species. Displays highlighted species with wider lines.plot()
method for MizerParams object to plot the initial state.include_critical
in plotFeedingLevel()
allows to show also the critical feeding level.wlim
argument to plotSpectra()
in analogy to the existing ylim
argument to limit the w
range in the plot.setColours()
.solid
but this can be changed via the setLinetypes()
function.box_pred_kernel()
implements a box-shaped kernel as an alternative to the default lognormal_pred_kernel()
.power_law_pred_kernel()
implements a power-law kernel with sigmoidal cutoffs at both ends. This is suitable for filter feeders.setPredKernel()
). Mizer automatically falls back on the old non-FFT code to handle this. (#41)getPredKernel()
returns the full 3-dimensional predation kernel array, even when this is not stored in MizerParams object.Now it is finally possible to have several gears (or fleets) targeting the same species. The information is set up via a new gear_params()
data frame. See setFishing()
for details.
w()
, w_full()
, dw()
, dw_full()
.upgradeParams()
and upgradeSim()
can upgrade objects from previous versions of mizer so they work with the new version.getDiet()
calculates the diet of predators. (#43)RickerRDD()
and SheperdRDD()
for density-dependence in reproduction, as well as noRDD()
and constantRDD()
.double_sigmoid_length()
allows modelling of escape of large individuals.sigmoidal_weight()
is weight-based trawl selectivity function. (Ken H Andersen)getGrowthCurves()
calculates the growth curves (size at age).mizerRates()
calculates all the rates needed in the model and collects them in a list.times()
to extract the times at which simulation results are saved in a MizerSim object.finalN()
, finalNResource()
and finalNOther()
as well as idxFinalT()
to access the values at the final time of a simulation.getCriticalFeedingLevel()
returns the critical feeding level for each species at each size.melt()
function from the reshape2 package which allows users to convert the arrays returned by mizer functions into data frames that can be used for example in ggplot2 and plotly.validSpeciesParams()
checks validity of species parameter data frame and sets defaults for missing but required parameters.n
, p
and q
as well as the feeding level f0
can now be set at the species level via columns in species_params
.fc
can now be specified as a species parameter and will be used to calculate the metabolic rate parameter ks
if it is not supplied.project()
now shows a progress bar while a simulation is running. Can be turned off with progress_bar = FALSE
argument.Inf
.resource_semichemostat()
.interaction_resource
column in the species parameter data frame.w_mat25
column in the species parameter dataframe, which gives the size at which 25% of the individuals of a species are mature.m
column in the species parameter data frame.project()
can now continue projection from last time step of a previous simulation if the first argument is a MizerSim object. The new append
argument then controls whether the new results are appended to the old.newMultispeciesParams()
.n
, n_pp
and n_other
arguments from the initial values in the params
argument.perfect_scaling
argument allows newTraitParams()
to produce a perfectly scale-invariant model.ext_mort_prop
argument in newTraitParams()
allows the inclusion of external mortality.NS_params
with the North Sea model MizerParams object.newMultispeciesParams()
.getmM2()
-> getPredMort()
plotM2
-> plotPredMort()
getM2background()
-> getResourceMort()
getZ()
-> getMort()
getESpawning()
-> getERepro()
MizerParams()
-> emptyParams()
or set_multispecies_model()
r_max
to R_max
.getSSB()
, the calculation of the spawning stock biomass is done correctly using the maturity ogive instead of the proportion of energy allocated to reproduction. (#47)getEncounter()
and getPredRate()
now set names on the returned arrays.ylim
argument is not handled correctly in plots.display_frame()
is now exported.plotGrowthCurves()
and getGrowthCurves()
also works when there is only a single speciest_start
argument in project()
is used correctlyget_initial_n()
gets values for n
and q
from params objectsummary()
of MizerParams object reflects the number of non-empty resource bins. (@patricksykes)get_gamma_default()
, get_h_default()
and get_ks_default()
, making it easier to change or extend these in the future.set_species_param_default()
makes it easier to set default values for species parameters.@inherit
functionality of roxygen2 to reduce duplication in roxygen documentation.getPhiPrey()
is replaced by getEncounter()
which now returns the full encounter rate, including the contribution from other components. Even in the absence of other components, getEncounter()
differs from the old getPhiPrey()
because it includes the search volume factor.params
to refer to an argument of class MizerParams, sim
to refer to an argument of class MizerSim, and object
to an argument that can be either.setClass()
to follow the new guidelines, replacing representation
by class
and removing prototype
and validity
.shiny_progress
renamed to progress_bar
because they control any type of progress bar.outer()
instead of tapply()
where possible to improve readability.hasArg()
and anyNA()
because they were not available in R 3.1@std_metab
and @activity
slots into a single @metab
slot.@w_min_idx
out of @species_params
into its own slot.@maturity
to hold the maturity ogive.@pred_kernel
to hold predation kernel if it has variable predator/prey ratio.@resource_dynamics
to allow user to specify alternative resource dynamics.@gear_dynamics
to species to be targeted by multiple gears.@ft_mask
that is used when calculating predation rates using the Fourier transform method.@rates_funcs
to allow mizer extensions to replace mizer rate functions with their own rate functions.@srr
we now have the name of the function in @rate_funcs$RDD
, see #91.@other_dynamics
, @other_params
, @other_encounter
, @other_mort
and @initial_n_other
to allow mizer extensions to add more ecosystem components.set_scaling_model()
, see section 12 in the vignette.PlotYield()
no longer fails when species names are numbers or when a species abundance is zerototal
parameter to several plot functions to add the curve for the total community (sum over all species and resource)species
parameter to all plot functions to allow for only a selection of species to be plotted@initial_n
and @initial_n_pp
slots to MizerParams class.getPhiPrey()
and getPredRate()
.getPhiPrey()
and getPredRate()
.