Package: CFM 0.8.0
CFM: Analyzing Censored Factor Models
Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Authors:
CFM_0.8.0.tar.gz
CFM_0.8.0.zip(r-4.7-any)CFM_0.8.0.zip(r-4.6-any)CFM_0.8.0.zip(r-4.5-any)
CFM_0.8.0.tgz(r-4.6-any)CFM_0.8.0.tgz(r-4.5-any)
CFM_0.8.0.tar.gz(r-4.7-any)CFM_0.8.0.tar.gz(r-4.6-any)
CFM_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CFM/json (API)
| # Install 'CFM' in R: |
| install.packages('CFM', repos = c('https://guangbaog.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:721ef35aad. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 136 | ||
| source / vignettes | OK | 193 | ||
| linux-release | OK | 122 | ||
| macos-release | OK | 123 | ||
| macos-oldrel | OK | 160 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 94 | ||
| wasm-release | OK | 97 |
Exports:censored_factor_modelcensored_factor_modelscensored_kernel_factor_modelCFMFanPC.CFMincremental_censored_factor_modelPC2.CFMPPC2.CFMweighted_censored_factor_model
Dependencies:crchDEoptimRevaluateFormulaGPArotationhighrkernlabknitrlatticeMASSMatrixmatrixcalcmnormtmvtnormnlmenumDerivordinalpracmapsychRcppRcppArmadilloRcppEigenrobustbaseRSpectrasandwichscoringRulestruncnormucminfxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aids2 Dataset | Aids2 |
| Boundary Condition Dataset | bcdata |
| Robust Censored Factor Model | censored_factor_model |
| Basic censored-factor data simulator | censored_factor_models |
| Kernel Censored Factor Model | censored_kernel_factor_model |
| Censored Factor Models Data Generation | CFM |
| Censored Factor Analysis via Principal Component (FanPC, pure R) | FanPC.CFM |
| Incremental Censored Factor Model | incremental_censored_factor_model |
| PC2 for censored factor models (Top-2 principal components, pure R) | PC2.CFM |
| PPC2 for censored factor models (Top-2 principal components, pure R) | PPC2.CFM |
| Weighted Censored Factor Model | weighted_censored_factor_model |
| Yoghurt Dataset | yoghurt |