Package: qapproach 0.1.2

Jonas Geschke

qapproach: The Q Approach to Consensus Building

Implements a workflow based on Q method to support consensus-building processes. It prepares participant rankings, selects and fits group perspectives, calculates consensus priority scores, validates results by bootstrap resampling, and produces publication-ready figures. The underlying method is described by Geschke et al. (2022) "The Q approach to consensus building: integrating diverse perspectives to guide decision-making" <doi:10.32942/X2F59S>.

Authors:Jonas Geschke [aut, cre]

qapproach_0.1.2.tar.gz
qapproach_0.1.2.zip(r-4.7-any)qapproach_0.1.2.zip(r-4.6-any)
qapproach_0.1.2.tar.gz(r-4.7-any)qapproach_0.1.2.tar.gz(r-4.6-any)
qapproach_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qapproach/json (API)

# Install 'qapproach' in R:

install.packages('qapproach', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonasgeschke/qapproach/issues

On CRAN:

3.00 score 258 downloads 26 exports 25 dependencies

Last updated from:0afd6ecaf5. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	134
source / vignettes	OK	181
linux-release	OK	128
windows-devel	OK	89
windows-release	OK	98
wasm-release	OK	102

Exports:agreement_across_levels bootstrap_consensus_priority_scores consensus_across_levels cpscores distributiondetermination manually_repair_perspective_distributions nfactordetermination not_agreeing plot_barplot plot_heatmap plot_hierarchical_levels plot_jitterplot plot_network plot_network_two_layered plot_sdg_cps plot_sdg_diamonds plot_spiderweb prepare_rankings qaboots qapproach summary validate validation_cps validation_means validation_perspectives write_figure_collection

Dependencies:cli cpp11 digest evaluate fmsb glue GPArotation highr igraph knitr lattice lifecycle magrittr Matrix mnormt nlme pkgconfig psych qmethod rlang vctrs withr xfun xtable yaml

A Q Approach to Consensus Building

Rendered fromqapproach.Rnwusingutils::Sweave

Last update: 2026-09-23
Started: 2026-09-23

Citation

Readme and manuals

Help Manual

Help page	Topics
Trace ranking agreement across successive Q approach levels	agreement_across_levels
Summarize consensus across successive Q approach levels	consensus_across_levels
Calculate consensus priority scores	cpscores
Determine the required Q-sort ranking distribution	distributiondetermination
Plot a hierarchical network across Q approach levels	plot_hierarchical_levels
Plot and save a two-layered multi-dataset synthesis network	plot_network_two_layered
Plot cp-scores across analyses using SDG icons	plot_sdg_cps
Export SDG-priority diamonds for all group perspectives	plot_sdg_diamonds
Prepare rankings and run a Q approach analysis	manually_repair_perspective_distributions nfactordetermination not_agreeing prepare_rankings qapproach
Advanced Q approach bootstrap interfaces	bootstrap_consensus_priority_scores qaboots qapproach-bootstrap
Plot and export Q approach results	plot_barplot plot_heatmap plot_jitterplot plot_network plot_spiderweb qapproach-plots write_figure_collection
Print a Q approach analysis summary	summary
Validate group perspectives and consensus priority scores	validate
Print the consensus-priority-score validation table	validation_cps
Print the sensitivity comparison with input-ranking means	validation_means
Print the group-perspective stability validation table	validation_perspectives

Package: qapproach 0.1.2

qapproach: The Q Approach to Consensus Building

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)