Package: SeleMix 1.0.2
Teresa Buglielli
SeleMix: Selective Editing via Mixture Models
Detection of outliers and influential errors using a latent variable model.
Authors:
SeleMix_1.0.2.tar.gz
SeleMix_1.0.2.tar.gz(r-4.5-noble)SeleMix_1.0.2.tar.gz(r-4.4-noble)
SeleMix_1.0.2.tgz(r-4.4-emscripten)SeleMix_1.0.2.tgz(r-4.3-emscripten)
SeleMix.pdf |SeleMix.html✨
SeleMix/json (API)
NEWS
| # 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 4 years agofrom:dca94e4ba9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
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 |