Package: clerkR 0.1.2

Lucas França

clerkR: Publication-Ready Tables for Biomedical Research

Transforms standard R data frames into publication-ready tables across a handful of common archetypes found in biomedical and neuroscience manuscripts: descriptive/Table 1 with group comparisons, heritability and variance components, correlation and partial correlation, regression coefficients, and simple descriptive summaries. Provides a unified rendering pipeline targeting 'gt' (Word/PDF), 'reactable' (HTML), and LaTeX outputs, with consistent theming, domain/section grouping, footnote handling for transformed variables, and FDR annotation.

Authors:Lucas França [aut, cre], Mario Leocadio-Miguel [aut]

clerkR_0.1.2.tar.gz
clerkR_0.1.2.zip(r-4.7)clerkR_0.1.2.zip(r-4.6)clerkR_0.1.2.zip(r-4.5)
clerkR_0.1.2.tgz(r-4.6-any)clerkR_0.1.2.tgz(r-4.5-any)
clerkR_0.1.2.tar.gz(r-4.7-any)clerkR_0.1.2.tar.gz(r-4.6-any)
clerkR_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
clerkR/json (API)

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

Bug tracker:https://github.com/circadia-bio/clerkr/issues

Pkgdown/docs site:https://clerkr.circadia-lab.uk

Datasets:

On CRAN:

Conda:

3.85 score 15 exports 60 dependencies

Last updated from:6fbd608d52 (on main). Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE141
source / vignettesOK218
linux-release-x86_64NOTE141
macos-release-arm64NOTE163
macos-oldrel-arm64NOTE171
windows-develNOTE84
windows-releaseNOTE90
windows-oldrelNOTE78
wasm-releaseOK146

Exports:clerk_colourclerk_divergingclerk_optionsclerk_paletteclerk_renderclerk_sequentialclerk_themerender_gtrender_latexrender_reactabletbl_correlationtbl_descriptivetbl_heritabilitytbl_regressiontbl_simple

Dependencies:base64encbigDbitopsbslibcachemclicommonmarkcpp11curldigestdplyrevaluatefarverfastmapfontawesomefsgenericsgluegthighrhtmltoolshtmlwidgetsjquerylibjsonlitejuicyjuiceknitrlabelinglifecyclelitedownmagrittrmarkdownmemoisemimepillarpkgconfigpurrrR6rappdirsRColorBrewerRcppreactablereactRrlangrmarkdownsassscalesstringistringrtibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

Formatting options
Overview | P-value style | Decimal places | Significance stars | FDR display | Domain labels for unassigned variables | Session-wide vs per-call options | Full option reference

Last update: 2026-06-27
Started: 2026-06-27

Heritability tables with R-itable and clerkR
Overview | Setup | 1. Simulate a family cohort | 2. Build GRM and run batch estimation | 3. Render the full table | Filtering to a single model | HTML output

Last update: 2026-06-26
Started: 2026-06-26

Correlation and partial correlation tables
Overview | Basic long-format table | Including sample size | Domain grouping | FDR correction | Wide (pivoted) format | Custom column names | HTML output

Last update: 2026-06-26
Started: 2026-06-26

Descriptive tables (Table 1)
Overview | Basic usage | Group comparisons | Domain grouping | Log-transformed variables | FDR correction | Selecting variables | HTML output | Inspecting the underlying data

Last update: 2026-06-26
Started: 2026-06-26

Getting started with clerkR
Overview | Installation | The example datasets | A minimal Table 1 | Adding domain grouping | Changing the output format | The clerkR palette | What next?

Last update: 2026-06-26
Started: 2026-06-26

Regression coefficient tables
Overview | Basic usage | Domain grouping | FDR correction | Using broom::tidy() directly | Logistic regression — exponentiated coefficients | Custom column names | HTML output

Last update: 2026-06-26
Started: 2026-06-26

Simple descriptive tables
Overview | Basic usage | Selecting variables | Domain grouping | Log-transformed variables | HTML output | When to use tbl_simple() vs tbl_descriptive()

Last update: 2026-06-26
Started: 2026-06-26