DWFMult                 Cocktail Algorithm implementation for
                        D-Optimality
DsWFMult                Cocktail Algorithm implementation for
                        Ds-Optimality
IWFMult                 Cocktail Algorithm implementation for
                        I-Optimality and A-Optimality (with matB =
                        diag(k))
WFMult                  Master function for the cocktail algorithm,
                        that calls the appropriate one given the
                        criterion.
add_design              Add two designs
add_points              Update design given crosspoints and alpha
augment_design          Augment Design
check_inputs            Check Inputs
crit                    Master function for the criterion function
crosspoints             Calculate crosspoints
dcrit                   Criterion function for D-Optimality
delete_points           Remove low weight points
delta_bound             Calculate efficiency bounds
design_efficiency       Efficiency between optimal design and a user
                        given design
dscrit                  Criterion function for Ds-Optimality
dsens                   Sensitivity function for D-Optimality
dssens                  Sensitivity function for Ds-Optimality
eff                     Efficiency between two Information Matrices
efficient_round         Efficient Round
findmax                 Find Maximum
findmaxval              Find Maximum Value
findminval              Find Minimum Value
getCross2               Give effective limits to candidate points
                        region
getPar                  Parity of the crosspoints
getStart                Find where the candidate points region starts
gradient                Gradient function
icrit                   Criterion function for I-Optimality
inf_mat                 Information Matrix
integrate_reg_int       Integrate IM
isens                   Sensitivity function for I-Optimality
opt_des                 Calculates the optimal design for a specified
                        Criterion
plot.optdes             Plot function for optdes
plot_convergence        Plot Convergence of the algorithm
plot_sens               Plot sensitivity function
print.optdes            Print function for optdes
sens                    Master function to calculate the sensitivity
                        function
sens_val_to_add         Calculates sensitivity function value for given
                        delta and efficiency
shiny_augment           Shiny D-augment
shiny_optimal           Shiny Optimal
summary.optdes          Summary function for optdes
tr                      Trace
update_design           Update Design with new point
update_design_total     Merge close points of a design
update_sequence         Deletes duplicates points
update_weights          Update weight D-Optimality
update_weightsDS        Update weight Ds-Optimality
update_weightsI         Update weight I-Optimality
