Purpose | 1. Cross-sectional, binary outcome | 2. Cross-sectional, continuous outcome | 3. Case-control | 4. Cohort | 5. Clinical trials | 6. Diagnostic test accuracy | Summary | References
Package: PICOTsize 0.1.0
PICOTsize: Sample Size Calculation for PICOT-Based Study Designs
Provides sample size calculators for the study designs covered by the PICOT framework, including cross-sectional, case-control, cohort, superiority, non-inferiority, and equivalence clinical trials, and diagnostic test accuracy studies, following Bhardwaj et al. (2024) <doi:10.4103/jfmpc.jfmpc_1675_23>. Calculations are performed using the 'epiR' package as a validated computational backend. Includes a 'shiny' application with a PICOT-based design wizard, an interactive sensitivity plot, and automatically generated Methods-section text for manuscripts.
Authors:
PICOTsize_0.1.0.tar.gz
PICOTsize_0.1.0.zip(r-4.7-any)PICOTsize_0.1.0.zip(r-4.6-any)PICOTsize_0.1.0.zip(r-4.5-any)
PICOTsize_0.1.0.tgz(r-4.6-any)PICOTsize_0.1.0.tgz(r-4.5-any)
PICOTsize_0.1.0.tar.gz(r-4.7-any)PICOTsize_0.1.0.tar.gz(r-4.6-any)
PICOTsize_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PICOTsize/json (API)
| # Install 'PICOTsize' in R: |
| install.packages('PICOTsize', repos = c('https://atefehrashidi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/atefehrashidi/picotsize/issues
Last updated from:0d99e75b86. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 173 | ||
| source / vignettes | OK | 233 | ||
| linux-release | OK | 155 | ||
| macos-release | OK | 219 | ||
| macos-oldrel | OK | 180 | ||
| windows-devel | OK | 130 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 82 | ||
| wasm-release | OK | 170 |
Exports:apply_dropoutcalc_casecontrolcalc_cohortcalc_crosssectional_binarycalc_crosssectional_continuouscalc_diagnostic_accuracycalc_trial_equivalencecalc_trial_noninferioritycalc_trial_superioritygenerate_report_textrun_app
Dependencies:askpassbase64encBiasedUrnbslibcachemclassclassIntclicommonmarkcpp11crosstalkcurldata.tableDBIDFBAdigestdplyre1071epiRevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMatrixmemoisemimeofficeropensslotelpanderpillarpkgconfigplotlypromisesproxypurrrR6raggrappdirsRColorBrewerRcpprlangrmarkdowns2S7sassscalessfshinysourcetoolsstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytexunitsutf8uuidvctrsviridisLitewithrwkxfunxml2xtableyamlzipzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjust a raw sample size for expected dropout | apply_dropout |
| Sample size for a case-control study | calc_casecontrol |
| Sample size for a cohort study | calc_cohort |
| Sample size for a cross-sectional study with a binary outcome | calc_crosssectional_binary |
| Sample size for a cross-sectional study with a continuous outcome | calc_crosssectional_continuous |
| Sample size to estimate the sensitivity and specificity of a diagnostic test | calc_diagnostic_accuracy |
| Sample size for an equivalence trial (binary outcome) | calc_trial_equivalence |
| Sample size for a non-inferiority trial (binary outcome) | calc_trial_noninferiority |
| Sample size for a superiority trial (binary outcome) | calc_trial_superiority |
| Generate a Methods-section paragraph from a sample size result | generate_report_text |
| Launch the PICOTsize Shiny app | run_app |