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

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Documentation for package ‘optedr’ version 3.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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.