Package: MCCM 0.1.0
MCCM: Mixed Correlation Coefficient Matrix
The IRLS (Iteratively Reweighted Least Squares) and GMM (Generalized Method of Moments) methods are applied to estimate mixed correlation coefficient matrix (Pearson, Polyseries, Polychoric), which can be estimated in pairs or simultaneously. For more information see Peng Zhang and Ben Liu (2024) <doi:10.1080/10618600.2023.2257251>; Ben Liu and Peng Zhang (2024) <doi:10.48550/arXiv.2404.06781>.
Authors:
MCCM_0.1.0.tar.gz
MCCM_0.1.0.zip(r-4.5)MCCM_0.1.0.zip(r-4.4)MCCM_0.1.0.zip(r-4.3)
MCCM_0.1.0.tgz(r-4.4-any)MCCM_0.1.0.tgz(r-4.3-any)
MCCM_0.1.0.tar.gz(r-4.5-noble)MCCM_0.1.0.tar.gz(r-4.4-noble)
MCCM_0.1.0.tgz(r-4.4-emscripten)MCCM_0.1.0.tgz(r-4.3-emscripten)
MCCM.pdf |MCCM.html✨
MCCM/json (API)
| # Install 'MCCM' in R: |
| install.packages('MCCM', repos = c('https://encoreus.r-universe.dev', 'https://cloud.r-project.org')) |
- CECERS - Chinese Early Childhood Environment Rating Scale
- Parenteral_nutrition - Parenteral_nutrition
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:14f74004d6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:dphixydraw_correlation_matrixest_mixedGMMest_threesti_polychoricesti_polyserialgen_CCMgen_mixedgen_polychoricgen_polyseriesgen_rhombMCCM_estmrbPhixyrmsesummary_MCCM_est
Dependencies:admisclatticelavaanMASSMatrixmnormtmvtnormnumDerivpbivnormpolycorquadprog
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Chinese Early Childhood Environment Rating Scale | CECERS |
| Scaled Bivariate Normal Density | dphixy |
| Draw the Correlation Matrix | draw_correlation_matrix |
| Estimating Mixed Correlation Matrix by IGMM | est_mixedGMM |
| Thresholds Estimation | est_thre |
| Polychoric Correlation | esti_polychoric |
| Polyserial Correlation | esti_polyserial |
| Positive Semidefinite Correlation Matrix | gen_CCM |
| Continuous and Ordinal Simulated Data | gen_mixed |
| Generate Polychoric Sample | gen_polychoric |
| Generate Polyseries Sample | gen_polyseries |
| Generate Specific Binormal Distribution | gen_rho |
| Mean Bias | mb |
| General Function to Estimate Mixed Correlation Coefficient Matrix | MCCM_est |
| Mean Relative Bias | mrb |
| Parenteral_nutrition | Parenteral_nutrition |
| Scaled Bivariate Normal Approximation | Phixy |
| Root Mean Squared Error | rmse |
| Summary a MCCM Estimation Result | summary_MCCM_est |
