Package: skpr 1.9.5
skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Authors:
skpr_1.9.5.tar.gz
skpr_1.9.5.zip(r-4.7)skpr_1.9.5.zip(r-4.6)skpr_1.9.5.zip(r-4.5)
skpr_1.9.5.tgz(r-4.6-x86_64)skpr_1.9.5.tgz(r-4.6-arm64)skpr_1.9.5.tgz(r-4.5-x86_64)skpr_1.9.5.tgz(r-4.5-arm64)
skpr_1.9.5.tar.gz(r-4.7-arm64)skpr_1.9.5.tar.gz(r-4.7-x86_64)skpr_1.9.5.tar.gz(r-4.6-arm64)skpr_1.9.5.tar.gz(r-4.6-x86_64)
skpr_1.9.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
skpr/json (API)
NEWS
| # Install 'skpr' in R: |
| install.packages('skpr', repos = c('https://tylermorganwall.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tylermorganwall/skpr/issues
Pkgdown/docs site:https://tylermorganwall.github.io
design-of-experimentslinear-modelslinear-regressionmonte-carlooptimal-designspowersplit-plot-designssurvival-analysiscpp
Last updated from:a2c99832ff. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 301 | ||
| linux-devel-x86_64 | OK | 436 | ||
| source / vignettes | OK | 310 | ||
| linux-release-arm64 | OK | 251 | ||
| linux-release-x86_64 | OK | 284 | ||
| macos-release-arm64 | OK | 214 | ||
| macos-release-x86_64 | OK | 400 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| macos-oldrel-x86_64 | OK | 633 | ||
| windows-devel | OK | 299 | ||
| windows-release | OK | 267 | ||
| windows-oldrel | OK | 306 | ||
| wasm-release | OK | 229 |
Exports:%>%calculate_power_curvescontr.simplexeval_designeval_design_custom_mceval_design_mceval_design_survival_mcgen_designget_attributeget_optimalityget_power_curve_outputnormalize_designplot_correlationsplot_fdsskprGUI
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdigestdoBydoFuturedoParalleldoRNGdplyrfarverforeachforecastFormulafracdifffuturefuture.applygenericsgeometryggplot2globalsgluegridExtragtablehmsisobanditeratorslabelinglatticelifecyclelinproglistenvlme4lmerTestlmtestlpSolvemagicmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigprettyunitsprogressprogressrpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressRdpackreformulasrlangrngtoolsS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| re-export magrittr pipe operator | %>% |
| Calculate Power Curves | calculate_power_curves |
| Orthonormal Contrast Generator | contr.simplex |
| Calculate Power of an Experimental Design | eval_design |
| Monte Carlo power evaluation for experimental designs with user-supplied libraries | eval_design_custom_mc |
| Monte Carlo Power Evaluation for Experimental Designs | eval_design_mc |
| Evaluate Power for Survival Design | eval_design_survival_mc |
| Generate optimal experimental designs | gen_design |
| Get attribute values | get_attribute |
| Get optimality values | get_optimality |
| Get Power Curve Warnings and Errors | get_power_curve_output |
| Plots design diagnostics | plot_correlations |
| Fraction of Design Space Plot | plot_fds |
| Print evaluation information | print.skpr_eval_output |
| Print evaluation information | print.skpr_power_curve_output |
| Graphical User Interface for skpr | skprGUI |
