Package: optedr 2.1.1

Carlos de la Calle-Arroyo

optedr: Calculating Optimal and D-Augmented Designs

Calculates D-, Ds-, A- and I-optimal designs for non-linear models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and D-augments any design with a controlled efficiency. An efficient rounding function has been provided to transform approximate designs to exact designs.

Authors:Carlos de la Calle-Arroyo [aut, cre], Jesús López-Fidalgo [aut], Licesio J. Rodríguez-Aragón [aut]

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optedr.pdf |optedr.html
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NEWS

# Install 'optedr' in R:
install.packages('optedr', repos = c('https://kezrael.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kezrael/optedr/issues

On CRAN:

8 exports 4 stars 1.26 score 56 dependencies 14 scripts 261 downloads

Last updated 2 months agofrom:bca3546d1a. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winERRORAug 22 2024
R-4.5-linuxERRORAug 22 2024
R-4.4-winERRORAug 22 2024
R-4.4-macERRORAug 22 2024
R-4.3-winERRORAug 22 2024
R-4.3-macERRORAug 22 2024

Exports:augment_designcombinatorial_rounddesign_efficiencyefficient_roundget_augment_regionopt_desshiny_augmentshiny_optimal

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnleqslvnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolstibbletidyselectutf8vctrsviridisLitewithrxtable

Readme and manuals

Help Manual

Help pageTopics
Add two designsadd_design
Update design given crosspoints and alphaadd_points
Augment Designaugment_design
Check Inputscheck_inputs
Combinatorial roundcombinatorial_round
Master function for the criterion functioncrit
Calculate crosspointscrosspoints
D-Augment Designdaugment_design
Criterion function for D-Optimalitydcrit
Remove low weight pointsdelete_points
Efficiency between optimal design and a user given designdesign_efficiency
Ds-Augment Designdsaugment_design
Criterion function for Ds-Optimalitydscrit
Sensitivity function for D-Optimalitydsens
Sensitivity function for Ds-Optimalitydssens
Cocktail Algorithm implementation for Ds-OptimalityDsWFMult
Cocktail Algorithm implementation for D-OptimalityDWFMult
Efficiency between two Information Matriceseff
Efficient Roundefficient_round
Find Maximumfindmax
Find Maximum Valuefindmaxval
Find Minimum Valuefindminval
Get Augment Regionsget_augment_region
Get D-augment regionget_daugment_region
Get Ds-augment regionget_dsaugment_region
Get L-augment regionget_laugment_region
Give effective limits to candidate points regiongetCross2
Parity of the crosspointsgetPar
Find where the candidate points region startsgetStart
Gradient functiongradient
Gradient function for a subset of variablesgradient22
Criterion function for I-Optimality and L-Optimalityicrit
Information Matrixinf_mat
Integrate IMintegrate_reg_int
Sensitivity function for I-Optimalityisens
Cocktail Algorithm implementation for L-, I- and A-Optimality (with matB = diag(k))IWFMult
L-Augment Designlaugment_design
Calculates the optimal design for a specified criterionopt_des
Plot Convergence of the algorithmplot_convergence
Plot sensitivity functionplot_sens
Plot function for optdesplot.optdes
Print function for optdesprint.optdes
Master function to calculate the sensitivity functionsens
Shiny D-augmentshiny_augment
Shiny Optimalshiny_optimal
Summary function for optdessummary.optdes
Tracetr
Update Design with new pointupdate_design
Merge close points of a designupdate_design_total
Deletes duplicates pointsupdate_sequence
Update weight D-Optimalityupdate_weights
Update weight Ds-Optimalityupdate_weightsDS
Update weight I-Optimalityupdate_weightsI
Weight function per distributionweight_function
Master function for the cocktail algorithm, that calls the appropriate one given the criterion.WFMult