Package: skpr 1.7.3
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_1.7.3.tar.gz
skpr_1.7.3.zip(r-4.5)skpr_1.7.3.zip(r-4.4)skpr_1.7.3.zip(r-4.3)
skpr_1.7.3.tgz(r-4.4-x86_64)skpr_1.7.3.tgz(r-4.4-arm64)skpr_1.7.3.tgz(r-4.3-x86_64)skpr_1.7.3.tgz(r-4.3-arm64)
skpr_1.7.3.tar.gz(r-4.5-noble)skpr_1.7.3.tar.gz(r-4.4-noble)
skpr_1.7.3.tgz(r-4.4-emscripten)skpr_1.7.3.tgz(r-4.3-emscripten)
skpr.pdf |skpr.html✨
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
design-of-experimentslinear-modelslinear-regressionmonte-carlooptimal-designspowersplit-plot-designssurvival-analysis
Last updated 4 months agofrom:1d0a744f63. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win-x86_64 | OK | Nov 08 2024 |
| R-4.5-linux-x86_64 | OK | Nov 08 2024 |
| R-4.4-win-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-aarch64 | OK | Nov 08 2024 |
| R-4.3-win-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-aarch64 | OK | Nov 08 2024 |
Exports:%>%calculate_power_curvescontr.simplexeval_designeval_design_custom_mceval_design_mceval_design_survival_mcgen_designget_attributeget_optimalityget_power_curve_outputnormalize_designplot_correlationsplot_fdsskprGUI
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdigestdoBydoFuturedoParalleldoRNGdplyrfansifarverforeachFormulafuturefuture.applygenericsggplot2globalsgluegridExtragtablehmsisobanditeratorslabelinglatticelifecyclelistenvlme4lmerTestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigprettyunitsprogressprogressrpurrrquantregR6RColorBrewerRcppRcppEigenrlangrngtoolsscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisviridisLitewithr
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 |
