Package: biostats 1.1.2
Sebastian Quirarte-Justo
biostats: Biostatistics and Clinical Data Analysis
Biostatistical and clinical data analysis, including descriptive statistics, exploratory data analysis, sample size and power calculations, statistical inference, and data visualization. Normality tests are implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, omnibus test procedures are based on Blanca et al. (2017) <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), while sample size and power calculation methods follow Chow et al. (2017) <doi:10.1201/9781315183084>.
Authors:
biostats_1.1.2.tar.gz
biostats_1.1.2.zip(r-4.7)biostats_1.1.2.zip(r-4.6)biostats_1.1.2.zip(r-4.5)
biostats_1.1.2.tgz(r-4.6-any)biostats_1.1.2.tgz(r-4.5-any)
biostats_1.1.2.tar.gz(r-4.7-any)biostats_1.1.2.tar.gz(r-4.6-any)
biostats_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
biostats/json (API)
NEWS
| # Install 'biostats' in R: |
| install.packages('biostats', repos = c('https://sebasquirarte.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sebasquirarte/biostats/issues
biostatisticsclinical-dataclinical-researchclinical-trials
Last updated from:ac6f9a18c6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 247 | ||
| linux-release-x86_64 | OK | 161 | ||
| macos-release-arm64 | OK | 411 | ||
| macos-oldrel-arm64 | OK | 207 | ||
| windows-devel | OK | 128 | ||
| windows-release | OK | 138 | ||
| windows-oldrel | OK | 212 | ||
| wasm-release | OK | 142 |
Exports:clinical_dataeffect_measuresmissing_valuesnormalityomnibusoutliersplot_barplot_boxplot_corrplot_histplot_linesample_sizesample_size_rangesummary_table
Dependencies:abindbackportsbase64encbigDbitopsbootbroombslibcachemcarcarDataclicolorspacecommonmarkcowplotcpp11curlDerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegridExtragtgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclelitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnortestnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreactablereactRreformulasrlangrmarkdownS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8V8vctrsviridisLitewithrxfunxml2yamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulate Simple Clinical Trial Data | clinical_data |
| Effect Measures | effect_measures print.effect_measures |
| Descriptive and Visual Missing Value Assessment | missing_values print.missing_values print.outliers |
| Statistical and Visual Normality Assessment | normality print.normality |
| Omnibus Tests for Comparing Three or More Groups | omnibus print.omnibus |
| Descriptive and Visual Outlier Assessment | outliers |
| Create Simple Professional Bar Plots | plot_bar |
| Create Simple Professional Box Plots | plot_box |
| Create Simple Professional Correlation Matrix Plots | plot_corr |
| Create Simple Professional Histogram Plots | plot_hist |
| Create Simple Professional Line Plots | plot_line |
| Sample Size Calculation for Clinical Trials | print.sample_size sample_size |
| Calculate and visualize sample size across a range of treatment effects | print.sample_size_range sample_size_range |
| Summary Table with Optional Group Comparisons | summary_table |