Datasets | Load data | Get data | Data analysis | Sample data
Package: elicitr 0.2.0
Maude Vernet
elicitr: Processing and Aggregation of Expert Elicitation Data
Provides tools to import, validate, visualise and aggregate expert estimates for continuous and categorical variables. Analysis of continuous variables supports one-, three- and four-point elicitations, confidence-based rescaling and sampling from PERT. Analysis of categorical variables supports Dirichlet distributions, and weighted aggregation. You provide the data, and elicitr transforms them into easily readable graphics. Implements workflows adapted from the IDEA protocol described by Hemming et al. (2018) <doi:10.1111/2041-210X.12857> and categorical elicitation described by Vernet et al. (2024) <doi:10.1007/s10530-024-03341-2>.
Authors:
elicitr_0.2.0.tar.gz
elicitr_0.2.0.zip(r-4.7-any)elicitr_0.2.0.zip(r-4.6-any)elicitr_0.2.0.zip(r-4.5-any)
elicitr_0.2.0.tgz(r-4.6-any)elicitr_0.2.0.tgz(r-4.5-any)
elicitr_0.2.0.tar.gz(r-4.7-any)elicitr_0.2.0.tar.gz(r-4.6-any)
elicitr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
elicitr/json (API)
| # Install 'elicitr' in R: |
| install.packages('elicitr', repos = c('https://crewdecisions.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/crewdecisions/elicitr/issues
Pkgdown/docs site:https://crewdecisions.github.io
Datasets:
Last updated from:0c4a6ead16. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 290 | ||
| source / vignettes | OK | 305 | ||
| linux-release | OK | 273 | ||
| macos-release | OK | 162 | ||
| macos-oldrel | OK | 181 | ||
| windows-devel | OK | 217 | ||
| windows-release | OK | 252 | ||
| windows-oldrel | OK | 159 | ||
| wasm-release | OK | 168 |
Exports:cat_add_datacat_get_datacat_sample_datacat_startcont_add_datacont_get_datacont_sample_datacont_start
Dependencies:abindaskpassbackportsbeeswarmbitbit64bootbroomcarcarDatacellrangerclicliprcodetoolscolorspacecorrplotcowplotcpp11crayoncurlDBIDerivdigestdoBydplyrextraDistrfarverforcatsforeachforecastFormulafracdifffsgarglegenericsggbeeswarmggplot2ggpubrggrepelggsciggsignifglmnetgluegoogledrivegooglesheets4gridExtragtablehavenhmshttridsisobanditeratorsjomojsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvmicemiceaddsmimeminqamitmlmitoolsmodelrmvtnormnlmenloptrnnetnumDerivopensslopenxlsxordinalpanpbkrtestpillarpkgconfigpolynomprettyunitsprogresspurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrematchrematch2rlangrpartrstatixS7scalesshapeSparseMstringistringrsurvivalsystibbletidyrtidyselecttimeDatetzdbucminfurcautf8uuidvctrsviporviridisLitevroomwithrzipzoo
Categorical variables
Last update: 2026-10-12
Started: 2024-12-21
Continuous variables
Datasets | Load data | Get data | Data analysis | Plot raw data | Sample data
Last update: 2026-10-12
Started: 2024-12-21
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Add data | cat_add_data |
| Elicitation data for categorical variables | cat_data topic_1 topic_2 topic_3 |
| Get data | cat_get_data |
| Sample categorical data | cat_sample_data |
| Start elicitation | cat_start |
| Add data | cont_add_data |
| Elicitation data for continuous variables | cont_data round_1 round_2 |
| Get data | cont_get_data |
| Sample continuous data | cont_sample_data |
| Start elicitation | cont_start |
| elic_cat class | elic_cat |
| elic_cont class | elic_cont |
| Plot categorical samples | plot.cat_sample |
| Plot continuous samples | plot.cont_sample |
| Plot elicitation data | plot.elic_cont |
| Summarise samples of categorical data | summary.cat_sample |
| Summarise samples of continuous data | summary.cont_sample |