AICf                    Calculate AIC, Akaike's Information Criterion
Bean                    Bean gene-based models dataset
Sunflower_Phomopsis     Phomopsis stem canker observations for
                        Sunflower
WheatYieldGreece        National Wheat Yield evolution for Greece from
                        FAO
Wheat_GPC               Grain Protein Contents in Wheat Grains
carbonsoil.model        The CarbonSoil model - calculate daily values
                        over designated time period
carbonsoil.update       The CarbonSoil model - calculate change in soil
                        carbon for one year
carcass.EMI.model       The Carcass (growth of beef cattle) model with
                        energy as input
carcass.EMI.model2      The Carcass model function for use with
                        carcass.EMI.simule
carcass.EMI.multi       Wrapper function to run Carcass model on
                        several animals with different conditions
carcass.EMI.simule      Wrapper function to the Carcass model for
                        multiple sets of parameter values
carcass.define.param    Define values of the parameters for the Carcass
                        model
carcass.model           The Carcass (growth of beef cattle) model
carcass_data            Data of growth of beef cattle for Carcass model
carrot.weevil.model     Carrot weevil development model
chicks_data             Data of growth of chicks
cotton.model            The Cotton model (dynamic for numbers of Cotton
                        fruiting points).
epirice.define.param    Define values of the parameters for the Epirice
                        model
epirice.model           The Epirice model (Disease model for rice)
epirice.multi.simule    Wrapper function to run Epirice multiple times
                        (for multiple sets of inputs)
epirice.weather         Read weather data for Epirice (southern Asia
                        weather)
evaluation.criteria     Calcule multiple goodness-of-fit criteria
exponential.model       The Exponential growth model of dynamic of
                        population
exponential.model.bis   The Exponential growth model of dynamic of
                        population - another form
exponential.model.ie    The Exponential growth model of dynamic of
                        population - with improved Euler integration
goodness.of.fit         Calcule multiple goodness-of-fit criteria
graph_epid              Plot output of a Classical SEIR model for plant
                        disease
graph_epid_s            Plot output of a Classical SEIR model for plant
                        disease
lactation.calf.model    The Lactation model
lactation.calf.model2   The Lactation model for use with
                        lactation.calf.simule
lactation.calf.simule   Wrapper function to run the Lactation model for
                        multiple sets of parameter values
lactation.define.param
                        Define values of the parameters for the
                        Lactation model
lactation.machine.model
                        The Lactation model with milking machine
lactation.machine.model2
                        The Lactation model for use with
                        lactation.machine.simule
magarey.define.param    Define values of the parameters for the Magarey
                        model
magarey.model           The Magarey model
magarey.model2          The Magarey model, taking a vector of
                        parameters as argument
magarey.simule          Wrapper function to run the Magarey model
                        multiple times (for multiple sets of inputs)
maize.RUEtemp           Calculate effect of temperature on RUE for
                        Maize
maize.data_EuropeEU     Maize Biomass and Leaf Area Data
maize.data_MetaModelling
                        dataset of simulation for maize final biomass
maize.define.param      Define values of the parameters for the Maize
                        model
maize.model             The basic Maize model.
maize.model2            The basic Maize model for use with maize.simule
maize.muchow.graph      Plot dynamic output of Muchow Maize model.
maize.muchow.model      Maize model, with harvest index and yield from
                        Muchow et al. (1990)
maize.multisy           Wrapping function to run maize model on several
                        site-years
maize.multisy240        Wrapper function to run Maize model for
                        multiple sets of input variables (site-year)
                        and give Biomass at day240.
maize.simule            Wrapper function to run Maize model for
                        multiple sets of parameter values
maize.simule240         Wrapper function to run Maize model multiple
                        times for multiple sets of parameter values and
                        give Biomass at day240
maize.simule_multisy240
                        Wrapper function to run Maize model for
                        multiple sets of parameter values (virtual
                        design) and multiple sets of input variables
                        (site-year) and give Biomass at day240
maize.weather           Read weather data for the Maize model
maize_cir.model         The Maize model with additional state variable
                        CumInt
maize_cir_rue.model     The Maize model with temperature dependent RUE
                        and CumInt
maize_cir_rue_ear.model
                        The Maize model with temperature dependent RUE,
                        CumInt and ear growth
mm.A.fct                Expanded leaf area function for Muchow et al.
                        (1990) Maize model
mm.FAS.fct              Senescence function for Muchow et al. (1990)
                        Maize model
mm.HI.fct               Harvest index function for Muchow et al. (1990)
                        Maize model
mm.LN.fct               Leaf number function for Muchow et al. (1990)
                        Maize model
param.rtriangle         Generate a random plan as a data frame. Columns
                        are parameters. Values have triangle
                        distribution
param.runif             Generate a random plan as a data frame. Columns
                        are parameters. Values have uniform
                        distribution
population.age.matrix.model
                        The PopulationAge model (Population Dynamics
                        with Age Classes) - matrix form
population.age.model    The PopulationAge model (Population Dynamics
                        with Age Classes)
population.age.model.ode
                        The PopulationAge model (Population Dynamics
                        with Age Classes) - ode form
predator.prey.model     The PredatorPrey model (Predator-Prey
                        Lotka-Volterra with logistic equation for prey)
q.arg.fast.runif        Build the q.arg argument for the FAST function
                        (sensitivity analysis)
seedweight.data         Wheat grain weight measurements after anthesis
seedweight.model        The SeedWeight model
threshold.measures      Computation of threshold.measures
verhulst.model          The Verhulst (logistic) model - calculate daily
                        values over designated time period
verhulst.update         The Verhulst (logistic) model - calculate
                        change for one day
watbal.define.param     Define values of the parameters for the
                        WaterBalance model
watbal.model            WaterBalance model - calculate soil water over
                        designated time period
watbal.model.arid       WaterBalance model - Variant with another order
                        of calculation and ARID index
watbal.simobsdata       Soil water content measurements and associated
                        simulations with WaterBalance model
watbal.update           WaterBalance model - calculate change in soil
                        water for one day
watbal.weather          Read weather data for the WaterBalance model
                        (West of France Weather)
weather_EuropeEU        Weather Series for Europe (EU) from NASA POWER
                        Agroclimatology
weather_FranceWest      Weather series for western France from NASA
                        POWER agroclimatology
weather_GNS             Weather series for Gainesville (FL, USA) years
                        1982 and 1983
weather_SouthAsia       Weather series for southern Asia from NASA
                        POWER agroclimatology
weed.define.param       Define parameter values of the Weed model
weed.model              The Weed model - calculate daily values over
                        designated time period
weed.simule             Wrapper function to run the Weed model multiple
                        times (for multiple sets of inputs)
weed.update             The Weed model - calculate change for one year
zakoks.original.model   Classical SEIR model for plant diseases from
                        Zadoks (1971)
