# Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models

## Documentation for package ‘optedr’ version 3.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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
CWFMult | Cocktail Algorithm implementation for Compound Optimality
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
DsWFMult | Cocktail Algorithm implementation for Ds-Optimality
DWFMult | Cocktail Algorithm implementation for D-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
IWFMult | Cocktail Algorithm implementation for L-, I- and A-Optimality
KLWFMult | Cocktail Algorithm for KL-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
WFMult | Master function for the cocktail algorithm, that calls the appropriate one given the criterion.