CWFMult                 Cocktail Algorithm implementation for Compound
                        Optimality
DWFMult                 Cocktail Algorithm implementation for
                        D-Optimality
DsWFMult                Cocktail Algorithm implementation for
                        Ds-Optimality
IWFMult                 Cocktail Algorithm implementation for L-, I-
                        and A-Optimality
KLWFMult                Cocktail Algorithm for KL-Optimality
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
combinatorial_round     Combinatorial round
crit                    Master function for the criterion function
crosspoints             Calculate crosspoints
daugment_design         D-Augment Design
dcrit                   Criterion function for D-Optimality
delete_points           Remove low weight points
design_efficiency       Efficiency between optimal design and a user
                        given design
detect_design_vars      Detect design variables from a model formula
dsaugment_design        Ds-Augment 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
get_augment_region      Get Augment Regions
get_daugment_region     Get D-augment region
get_dsaugment_region    Get Ds-augment region
get_laugment_region     Get L-augment region
gradient                Gradient function
gradient22              Gradient function for a subset of variables
icrit                   Criterion function for I-Optimality and
                        L-Optimality
inf_mat                 Information Matrix
integrate_reg_int       Integrate IM
isens                   Sensitivity function for I-Optimality
laugment_design         L-Augment Design
make_glm_family         GLM family specification for KL-Optimality
make_kl_fun             Build a KL-divergence point function for use
                        with opt_des()
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.augment_region    Print method for augment_region objects
print.optdes            Print function for optdes
sens                    Master function to calculate the sensitivity
                        function
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
weight_function         Weight function per distribution
