BFGS_special            An implementation of BFGS method for posterior
                        maximization.
active_design           Simulates the active design process.
add_infinitesimal       Finite difference function
add_noise               Noise generative process for the simulations
armijo                  Performs armijo line searcc
compute_gradient        Finite difference function
compute_gradient_coordinate
                        Finite difference function
compute_mean_risks      Compute an average risk as a function of credit
                        spent
dmvnorm                 Gaussian multivariate density
dream6_design           Simulates the active design process using the
                        comparison criterion (see article for details).
estimate_risk_dream6    Expected risk estimation (comparison with
                        litterature).
estimate_risk_out_all   Expected risk estimation.
eval_kn_log_like        Evaluates the likelihood of a parameter value
eval_log_like_knobj     Posterior function.
experiment_list1        Molecular perturbations.
exps                    List of possible experiments
generate_our_knowledge
                        Initialize a knowledge list.
generate_sample         An implementation of the Metropolis Hasting
                        algorithm
knobjs                  Knowledge lists
log_likelihood          User defined likelihood function.
log_normalize           Normalize in log space
log_prior               User defined log prior
observables             Observable quantities of the model
pauwels2014-package     Reproduce numerical experiments
proj_grad               Least square on the positive orthant
random_design           Simulates a randim design process.
read_knobjs             Summarizes pre-computed results.
reverse_params          Transform log space parameters back to the
                        original space
risk_theta_fun          Risk function
risk_theta_vect         Expected risk based on a posterior sample
sample_function         Generates posterior samples
sample_function_multi_mod_weight
                        Sample function visiting multiple modes of the
                        posterior
sample_function_single_mod
                        Sample function visiting a single mode of the
                        posterior.
simulate_experiment     Simulates the dynamics of a molecular
                        perturbation
simulate_experiment_no_transform
                        Link to the ode solver.
transform_params        User defined parameter transformation function.
