Package: cWise 0.1.0

cWise: Crosswise Models for Sensitive Survey Questions

Implements a bias-corrected crosswise estimator and its extensions for sensitive survey questions. The methods are described in Atsusaka and Stevenson (2023). "A bias-corrected estimator for the crosswise model with inattentive respondents" <doi:10.1017/pan.2021.43>.

Authors:Yuki Atsusaka [aut, cre], Kolbe Dumas [aut]

cWise_0.1.0.tar.gz
cWise_0.1.0.zip(r-4.7-any)cWise_0.1.0.zip(r-4.6-any)cWise_0.1.0.zip(r-4.5-any)
cWise_0.1.0.tgz(r-4.6-any)cWise_0.1.0.tgz(r-4.5-any)
cWise_0.1.0.tar.gz(r-4.7-any)cWise_0.1.0.tar.gz(r-4.6-any)
cWise_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cWise/json (API)

# Install 'cWise' in R:

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

Bug tracker:https://github.com/yukiatsusaka/cwise/issues

Pkgdown/docs site:https://www.atsusaka.org

Datasets:

cmdata - Simulated Crosswise Survey Data I
cmdata2 - Simulated Crosswise Survey Data II
cmdata3 - Simulated Crosswise Survey Data III

On CRAN:

4.78 score 2 stars 17 exports 26 dependencies

Last updated from:1fd59ce496. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	165
source / vignettes	OK	237
linux-release	OK	162
macos-release	OK	161
macos-oldrel	OK	169
windows-devel	OK	80
windows-release	OK	132
windows-oldrel	OK	133
wasm-release	OK	120

Exports:bc_est bc.est cmBound cmpredict cmpredict_p cmpredict.p cmreg cmreg_p cmreg.p sim_cwdata sim_estimates sim_power sim_power_N sim.cwdata sim.estimates sim.power sim.power.N

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lifecycle magrittr mvtnorm pillar pkgconfig R6 RColorBrewer rlang S7 scales tibble tidyselect utf8 vctrs viridisLite withr

Getting started with cWise

Rendered fromcWise.Rmdusingknitr::rmarkdown

Last update: 2026-09-08
Started: 2026-08-31

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
bc_est	bc.est bc_est
cmBound	cmBound
Simulated Crosswise Survey Data I	cmdata
Simulated Crosswise Survey Data II	cmdata2
Simulated Crosswise Survey Data III	cmdata3
cmpredict	cmpredict
cmpredict_p	cmpredict.p cmpredict_p
cmreg	cmreg
cmreg_p	cmreg.p cmreg_p
Print and summarise crosswise regression fits	cmreg-methods print.cmreg print.summary.cmreg summary.cmreg
Simulate Survey Data and Compute Bias-Corrected Estimates	sim.cwdata sim_cwdata
Simulate and Plot Panel C of Figure C7	sim.estimates sim_estimates
Compute Statistical Power for a Fixed Sample Size	sim.power sim_power
Determine Sample Size for Desired Coverage Properties	sim.power.N sim_power_N