Introduction | How to describe and interpret a categorical variable automatically? | When the categorical variable is explicit | When the categorical variable is latent
Package: NaileR 1.2.3
Sébastien Lê
NaileR: Interpreting Latent Variables with AI
A small package designed for interpreting continuous and categorical latent variables. You provide a data set with a latent variable you want to understand and some other explanatory variables. It provides a description of the latent variable based on the explanatory variables. It also provides a name to the latent variable.
Authors:
NaileR_1.2.3.tar.gz
NaileR_1.2.3.tar.gz(r-4.7-any)NaileR_1.2.3.tar.gz(r-4.6-any)
NaileR_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NaileR/json (API)
| # Install 'NaileR' in R: |
| install.packages('NaileR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- agri_studies - Agribusiness studies survey
- atomic_habit - Atomic habits survey
- atomic_habit_clust - Atomic habits survey
- beard - Beard descriptions
- beard_cont - Beard descriptions
- beard_wide - Beard descriptions
- boss - Ideal boss survey
- car_alone - Atomic habits survey
- fabric - Car seat fabrics
- glossophobia - Glossophobia survey
- local_food - Local food systems survey
- nutriscore - Nutri-score survey
- quality - Perception of food quality
- rorschach - Rorschach inkblots
- waste - Food waste survey
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4256693c17. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 213 | ||
| linux-release-x86_64 | OK | 181 | ||
| wasm-release | OK | 153 |
Exports:%>%dist_mat_llmdist_ref_llmnail_catdesnail_condesnail_descfreqnail_qdanail_sortnail_textualsim_llm
Dependencies:abindAlgDesignaskpassbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecommonmarkcowplotcpp11crayoncrosstalkcurlDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelggtextgluegridtextgtablegtoolshighrhtmltoolshtmlwidgetshttr2irlbaisobandjpegjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivollamaropensslotelpbkrtestpillarpkgconfigplyrpngpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownS7sassscalesscatterplot3dSensoMineRshowtextshowtextdbSparseMstringistringrsurvivalsyssysfontstibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxml2yamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Agribusiness studies survey | agri_studies |
| Atomic habits survey | atomic_habit |
| Atomic habits survey | atomic_habit_clust |
| Beard descriptions | beard |
| Beard descriptions | beard_cont |
| Beard descriptions | beard_wide |
| Ideal boss survey | boss |
| Atomic habits survey | car_alone |
| LLM distance matrix | dist_mat_llm |
| LLM response consistency | dist_ref_llm |
| Car seat fabrics | fabric |
| Glossophobia survey | glossophobia |
| Local food systems survey | local_food |
| Interpret a categorical latent variable | nail_catdes |
| Interpret a continuous latent variable | nail_condes |
| Interpret the rows of a contingency table | nail_descfreq |
| Interpret QDA data | nail_qda |
| Sort textual data | nail_sort |
| Interpret a group based on answers to open-ended questions | nail_textual |
| Nutri-score survey | nutriscore |
| Perception of food quality | quality |
| Rorschach inkblots | rorschach |
| LLM text similarity | sim_llm |
| Food waste survey | waste |