Package: flex 0.1.0

Chaewon Lee

flex: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)

The FLEX method, developed by Yoon and Choi (2013) <doi:10.1007/978-3-642-33042-1_21>, performs least squares estimation for fuzzy predictors and outcomes, generating crisp regression coefficients by minimizing the distance between observed and predicted outcomes. It also provides functions for fuzzifying data and inference tasks, including significance testing, fit indices, and confidence interval estimation.

Authors:Chaewon Lee [aut, cre], Jin Hee Yoon [ctb]

flex_0.1.0.tar.gz
flex_0.1.0.zip(r-4.7-any)flex_0.1.0.zip(r-4.6-any)
flex_0.1.0.tar.gz(r-4.7-any)flex_0.1.0.tar.gz(r-4.6-any)
flex_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flex/json (API)

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

Bug tracker:https://github.com/cwlee-quantpsych/flex/issues

On CRAN:

Conda:

1.00 score 7 scripts 340 downloads 17 exports 64 dependencies

Last updated from:c7d4746043. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK143
source / vignettesOK225
linux-releaseOK156
windows-develOK78
windows-releaseOK88
wasm-releaseOK188

Exports:coefficientscompute_cicompute_p_valuescompute_predcompute_rescompute_t_valuesfuzzify_crisp_matrixfuzzify_crisp_valuefuzzify_crisp_vectorfuzzy_addfuzzy_crisp_multfuzzy_d_squaredfuzzy_lmfuzzy_multsplotpredictionsresiduals

Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml