Function reference • plant

All functions
`CohortSchedule()`	Schedule of cohort introduction times
`Control()`	Control parameters
`Disturbance()`	Disturbance control object
`FF16_Individual()` `lcp_whole_plant(<Plant<FF16>>)` `FF16_Cohort()` `FF16_Species()` `FF16_Parameters()` `FF16_Patch()` `FF16_SCM()` `FF16_StochasticSpecies()` `FF16_StochasticPatch()` `FF16_StochasticPatchRunner()`	Create a FF16 Plant or Cohort
`FF16_Environment()` `FF16_make_environment()` `FF16_fixed_environment()` `FF16r_make_environment()`	FF16_Environment object
`FF16_Strategy()`	Strategy parameters
`make_FF16_hyperpar()` `FF16_hyperpar()`	Hyperparameters for FF16 physiological model
`FF16r_Individual()` `lcp_whole_plant(<Plant<FF16r>>)` `FF16r_Cohort()` `FF16r_Species()` `FF16r_Parameters()` `FF16r_Patch()` `FF16r_SCM()` `FF16r_StochasticSpecies()` `FF16r_StochasticPatch()` `FF16r_StochasticPatchRunner()`	Create a FF16r Plant or Cohort
`FF16r_Strategy()`	Strategy parameters
`make_FF16r_hyperpar()` `FF16r_hyperpar()`	Hyperparameters for FF16r physiological model
`make_hyperpar()` `hyperpar()`	Hyperparameters for FF16 physiological model
`Individual()`	Individual object
`Internals()`	Internals class holding vectors of states, thier associated rates and auxiliary (aux) state which is calculated from the state through running compute_rates
`Interpolator()`	Spline interpolation
`K93_Individual()` `lcp_whole_plant(<Individual<K93>>)` `K93_Cohort()` `K93_Species()` `K93_Parameters()` `K93_Patch()` `K93_SCM()` `K93_StochasticSpecies()` `K93_StochasticPatch()` `K93_StochasticPatchRunner()`	Create a K93 Individual or Cohort
`K93_Environment()` `K93_make_environment()` `K93_fixed_environment()`	K93_Environment object
`K93_Strategy()`	Strategy parameters
`make_K93_hyperpar()` `K93_hyperpar()`	Hyperparameters for K93 physiological model
`OdeControl()`	ODE Control parameters
`QK()`	Gauss-Kronrod Quadrature
`assembly_parameters()`	Helper function for creating parameter objects
`bounds()` `check_bounds()` `bounds_infinite()` `check_point()`	Trait bounds
`build_schedule()`	Build Cohort Schedule
`carrying_capacity()`	Carrying Capacity
`check_inviable()`	Check low-abundance strategies for viability
`clamp_domain()`	Clamp function to domain
`cohort_schedule_times_default()`	Generate Default Cohort Introduction Times
`equilibrium_seed_rain()`	Run system to seed rain equilibrium
`equilibrium_verbose()` `equilibrium_quiet()`	Noisy Parameters for Equilibrium Finding
`expand_parameters()`	Expand Parameters to include mutants
`fast_control()`	Fast Control Defaults
`fitness_landscape()`	Fitness Landscape
`grow_plant_to_size()` `grow_plant_to_height()`	Grow plant to given size
`grow_plant_to_time()`	Grow a plant
`lcp_whole_plant()`	Whole plant light compensation point
`make_patch()` `scm_state()` `scm_patch()`	Reconstruct a patch
`make_reference_plant()`	Reference Growth Model
`make_reference_plant_FF16()`	Reference Growth Model
`make_scm_integrate()`	Integrate SCM variables
`make_transparent()`	Make colours transparent
`max_fitness()`	Find point of maximum fitness within some range.
`max_growth_rate()`	Compute Max Growth Rate
`nlsolve()`	Thin wrapper around nleqslv and dfsane
`plant_log_console()`	Activate logging with loggr
`rbind_list()` `cbind_list()`	Create matrices from lists
`run_plant_benchmarks()`	Check performance on current system using package bench
`run_scm()`	Run SCM
`run_scm_collect()`	Run the SCM, Collecting Output
`run_stochastic_collect()`	Run a stochastic patch, Collecting Output
`scm_base_parameters()`	Sensible, fast (ish) SCM parameters
`seq_log()` `seq_log_range()` `seq_range()`	Sequence in log space
`splinefun_log()` `splinefun_loglog()`	Spline interpolation in log-x space
`strategy_list()` `strategy_default()` `strategy()` `individual_list()`	Create a list of Strategies
`trait_matrix()`	Create trait matrix
`validate()`	Validate an object
`viable_fitness()`	Compute Region of Positive Fitnes

Reference

All functions