Package: SeleMix 1.0.4
Davide Di Cecco
SeleMix: Selective Editing via Mixture Models
Detection of outliers and influential errors using a latent variable model.
Authors:
SeleMix_1.0.4.tar.gz
SeleMix_1.0.4.tar.gz(r-4.7-any)SeleMix_1.0.4.tar.gz(r-4.6-any)
SeleMix_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SeleMix/json (API)
| # Install 'SeleMix' in R: |
| install.packages('SeleMix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:3c26075d6d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 93 |
Exports:ml.estpred.ysel.editsel.pairssel.plot
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example data frame | ex1.data |
| Example Data for package SeleMix | ex2.data |
| Fitting Contamination Model | ml.est |
| Prediction of y variables | pred.y |
| Influential Error Detection | sel.edit |
| Scatterplot Matrix | sel.pairs |
| Scatterplot with information about outliers and influential errors | sel.plot |