Package: RMLPCA 0.0.1
Renan Santos Barbosa
RMLPCA: Maximum Likelihood Principal Component Analysis
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.
Authors:
RMLPCA_0.0.1.tar.gz
RMLPCA_0.0.1.zip(r-4.5)RMLPCA_0.0.1.zip(r-4.4)RMLPCA_0.0.1.zip(r-4.3)
RMLPCA_0.0.1.tgz(r-4.4-any)RMLPCA_0.0.1.tgz(r-4.3-any)
RMLPCA_0.0.1.tar.gz(r-4.5-noble)RMLPCA_0.0.1.tar.gz(r-4.4-noble)
RMLPCA_0.0.1.tgz(r-4.4-emscripten)RMLPCA_0.0.1.tgz(r-4.3-emscripten)
RMLPCA.pdf |RMLPCA.html✨
RMLPCA/json (API)
NEWS
| # Install 'RMLPCA' in R: |
| install.packages('RMLPCA', repos = c('https://renands.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/renanestatcamp/rmlpca/issues
- cov_d - Covariance matrix for mlpca_d model
- cov_e - Covariance matrices for mlpca_e model
- data_clean - Error free data for all examples.
- data_clean_e - Error free data for all examples.
- data_cleaned_mlpca_b - Cleaned dataset after applied MLPCA B used for tests only
- data_cleaned_mlpca_c - Cleaned dataset after applied MLPCA C used for tests only
- data_cleaned_mlpca_d - Cleaned dataset after applied MLPCA D used for tests only
- data_cleaned_mlpca_e - Cleaned dataset after applied MLPCA E used for tests only
- data_error_b - Errors generated for mlpca_b model
- data_error_c - Errors generated for mlpca_c model
- data_error_d - Errors generated for mlpca_d model
- data_error_e - Errors generated for mlpca_e model
- sds_b - Standard deviations for mlpca_b model
- sds_c - Standard deviations for mlpca_c model
Last updated 3 years agofrom:039d34002f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | OK | Nov 15 2024 |
| R-4.5-linux | OK | Nov 15 2024 |
| R-4.4-win | OK | Nov 15 2024 |
| R-4.4-mac | OK | Nov 15 2024 |
| R-4.3-win | OK | Nov 15 2024 |
| R-4.3-mac | OK | Nov 15 2024 |
