All functions

Aggregate_Data()

Aggregate Case Study Data

Assess()

Conduct an Assessment

calculate_optimal_fishing()

Calculate the optimal pattern in fishing mortality

calc_average_monthly_F() calc_average_monthly_SPR() Calc_RP() plot_RP()

Calculate SPR and F reference points from HARA model

Check()

Check a Data object

Check_Parameters()

Check Parameters

Example_Data()

Print the file path for example data sets included in SLAM

File_Location()

Get the file path of the system files for the SLAM package

Generate_Data()

Generate Sampled Data from a Simulated Fishery

Generate_Monthly_Recruitment()

Generate Seasonal Recruitment Pattern

Import()

Import and organize data for assessment model

Import(<Simulated>)

Import Simulated Data

Import_Parameters() Import_LifeHistory() Import_Exploitation() Import_Sampling()

Import the Life History, Exploitation, and Sampling Parameters

Initialize_Parameters()

Initialize Parameters for SLAM Estimation

LifeHistory

Example Life History Parameters

Make_Data() Make()

Construct an empty Data object

New_Parameters()

Create new Parameters list

plot_at_Age() plot_weight_at_age() plot_maturity_at_age() plot_M_at_age() plot_PSM_at_age()

Plot the at-age schedules

plot_CAW()

Plot the weight composition data, and model fits to the data

plot_F()

Plot the predicted fishing mortality (F)

plot_Indices() plot_Biomass() plot_Effort() plot_Catch()

Plot indices of relative biomass, effort, and catch

plot_seasonal_rec() get_seasonal_recruitment()

Plot the predicted seasonal recruitment pattern

plot_selectivity()

Plot the predicted selectivity-at-age schedule

plot_SPR()

Plot the predicted spawning potential ratio (SPR)

Process_Data()

Process Case Study Data

Report()

Generate Data and Assessment Reports

report_NLL()

Report the negative log-likelihoods

Simulate()

Simulate the fishery dynamics for a short-lived semelparous species

Sim_Test()

Run a Simulation Test

Summarize_Data()

Summarize Case Study Data