Man pages for SticsRPacks/CroptimizR
A Package to Estimate Parameters of Crop Models
| AIC | Computes AIC for ordinary least squares |
| AICc | Computes AICc for ordinary least squares |
| BIC | Computes BIC for ordinary least squares |
| check_obsSim_consistency | Check the consistency of observation and simulation lists |
| complete_init_values | Complete initial values in param_info by sampling values from... |
| compute_eq_const | Compute equality constraints on model wrapper input... |
| estim_param | main function for parameter estimation |
| filter_obs | Filter observation list to exclude situations, variables or... |
| filter_param_info | Filter param_info list for a subset of parameters |
| get_init_values | Extract parameter initial values from parameter information |
| get_params_bounds | Extract bounds from parameter information |
| get_params_init_values | Extract parameter initial values from parameter information |
| get_params_names | Extract param names from parameter information |
| get_params_per_sit | Return a list of parameters active for a given situation |
| get_reserved_keywords | Return reserved keywords that should not be used as... |
| intersect_sim_obs | Intersect simulation and observation lists |
| is.data | Check format of data storage (for simulation results or... |
| is.obs | Check format of observation list |
| is.sim | Check format of simulated data list |
| is_sim_inf_or_na | Check if sim contains inf/na values when there are... |
| Likelihoods | Likelihoods |
| ls_criteria | Criteria to optimize |
| main_crit | main function for criterion to optimize |
| make_obsSim_consistent | Try to make observation and simulation lists consistent if... |
| optim_switch | Call the required parameter estimation method |
| plot_bayesian | Generate plots for bayesian methods |
| plot_estimVSinit | Create plots of estimated versus initial values of the... |
| plot_frequentist | Generate plots for frequentist methods |
| plot_valuesVSit | Create plots of parameters and criterion values per iteration... |
| plot_valuesVSit_2D | Create 2D plots of parameters values evolution per iteration... |
| post_treat_frequentist | Post-treat results of frequentist methods |
| post_treat_FwdRegAgMIP | Post-treat the results of the Forward Selection algorithm... |
| sample_params | sample values in given distribution |
| save_results_FwdRegAgMIP | Save the results of the Forward Selection algorithm proposed... |
| select_param_FwdRegAgMIP | Provide a list of candidate parameters to estimate based on... |
| set_init_values | Set initial values in param_info |
| summary_bayesian | Summarizes results of bayesian methods |
| summary_frequentist | Summarizes results of frequentist methods |
| summary_FwdRegAgMIP | Summarize the results of the Forward Selection algorithm... |
| test_wrapper | Test model wrappers |
| wrap_BayesianTools | A wrapper for BayesianTools package |
| wrap_nloptr | A wrapper for nloptr package |
| wrap_optim | A wrapper for optim function |
