Package: triangulate 0.0.2

Chin Yang Shapland

triangulate: Useful functions for performing evidence triangulation

What the package does (one paragraph).

Authors:Luke McGuinness [aut], Tassia Jones [aut], Chin Yang Shapland [aut, cre]

triangulate_0.0.2.tar.gz
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triangulate_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
triangulate/json (API)
NEWS

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

Bug tracker:https://github.com/mcguinlu/triangulate/issues

Datasets:
  • beta_carotene_data - Beta-carotene RoB Judgments (Raw) Domain-level risk of bias judgments for 15 studies of beta-carotene and cardiovascular outcomes.
  • dat_bias - Example risk of bias assessments
  • dat_bias_values - Example priors for the bias adjustment
  • dat_ind - Example indirectness assessments
  • dat_ind_values - Example priors for indirectness adjustment

On CRAN:

Conda:

5.03 score 4 stars 10 scripts 14 exports 65 dependencies

Last updated from:9c198ec995. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK162
source / vignettesOK211
linux-release-x86_64OK163
macos-release-arm64OK123
macos-oldrel-arm64OK101
windows-develOK101
windows-releaseOK106
windows-oldrelOK91
wasm-releaseOK120

Exports:%>%interactive_bias_plottri_absolute_directiontri_absolute_direction_inverttri_absolute_direction_quicktri_append_biastri_append_indirecttri_calculate_adjusted_estimatestri_dat_checktri_plot_bias_directiontri_prep_datatri_swap_effect_directiontri_to_longtri_to_wide

Dependencies:base64encbslibcachemclicommonmarkcpp11digestdplyrfarverfastmapfontawesomefsgenericsggplot2gluegtablehmshtmltoolshttpuvisobandjanitorjquerylibjsonlitelabelinglaterlatticelifecyclelubridatemagrittrmathjaxrMatrixmemoisemetadatmetaformimenlmenumDerivotelpbapplypillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysnakecasesourcetoolsstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrxtable

Absolute direction of bias/indirectness

Rendered fromabsolute_direction.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-11-27
Started: 2025-11-27

Adding additional levels of bias and indirectness

Rendered fromadditional-levels-of-bias-and-indirectness.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-11-27
Started: 2025-11-27

Creating triangulation datasets

Rendered fromCreating-triangulation-datasets.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-11-27
Started: 2025-11-27

Interactive Sensitivity Analysis

Rendered frominteractive-sensitivity.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-11-27
Started: 2025-11-27

Sensitivity Analyses in Triangulate

Rendered fromsensitivity-analysis.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2025-11-27
Started: 2025-11-27

Triangulation example: Beta-carotene and CHD

Rendered frombeta-carotene-chd-example.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2026-01-16
Started: 2025-11-27