Package: sensory 1.1
Brian C. Franczak
sensory: Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm
Contains the function CUUimpute() which performs model-based clustering and imputation simultaneously.
Authors:
sensory_1.1.tar.gz
sensory_1.1.zip(r-4.7-any)sensory_1.1.zip(r-4.6-any)
sensory_1.1.tar.gz(r-4.7-any)sensory_1.1.tar.gz(r-4.6-any)
sensory_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sensory/json (API)
| # Install 'sensory' in R: |
| install.packages('sensory', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5518abdeba. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 145 | ||
| source / vignettes | OK | 184 | ||
| linux-release | OK | 143 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 83 | ||
| wasm-release | OK | 169 |
Exports:CUUimpute
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cluster-Wise Imputation via a PEM Algorithm | CUUimpute |
| Cluster-Wise Imputation via a PEM Algorithm | sensory |
| The Brown Bread Data Set | bbread |
| The Iris Data with Missing Values | iiris |
| The White Bread Data | wbread |