Package: DTFM 0.1.5
DTFM: Distributed Online Covariance Matrix Tests for Truncated Factor Model
The truncated factor model is a statistical model designed to handle specific data structures in data analysis. 'DTFM' is a powerful tool designed to efficiently process and analyze distributed datasets. The philosophy of the package is described in Guo et al. (2023) <doi:10.1007/s00180-022-01270-z>.
Authors:
DTFM_0.1.5.tar.gz
DTFM_0.1.5.zip(r-4.7)DTFM_0.1.5.zip(r-4.6)DTFM_0.1.5.zip(r-4.5)
DTFM_0.1.5.tgz(r-4.6-any)DTFM_0.1.5.tgz(r-4.5-any)
DTFM_0.1.5.tar.gz(r-4.7-any)DTFM_0.1.5.tar.gz(r-4.6-any)
DTFM_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DTFM/json (API)
| # Install 'DTFM' in R: |
| install.packages('DTFM', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
- admission_predict - Admission Prediction Data
- Chinese_Herbal_Tea - Chinese Herbal Tea Consumer Survey Data
- concrete - Concrete Compressive Strength
- GOOG - Daily Google Stock Data
- new_energy_vehicle - New Energy Vehicle Purchase Intention Survey Data
- protein - Data Frame 'protein'
- real_estate_valuation - Real Estate Valuation
- review - Travel Review Dataset
- riboflavin - Riboflavin Production Data
- riboflavinv100 - Riboflavin Production Data
- taxi_trip_pricing - Taxi Trip Pricing
- winequality.white - White Wine Quality
- yacht_hydrodynamics - Yacht Hydrodynamics
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5dd921bd0a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 174 | ||
| source / vignettes | OK | 176 | ||
| linux-release-x86_64 | OK | 174 | ||
| macos-release-arm64 | OK | 98 | ||
| macos-oldrel-arm64 | OK | 128 | ||
| windows-devel | OK | 97 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 97 |
Exports:CLXcm13FanPC_TFMLCsykTFMttest.TFM
Dependencies:elasticnetgmmlarslatticemagrittrMASSMatrixmatrixcalcmvtnormsandwichSOPCtmvtnormzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Admission Prediction Data | admission_predict |
| Chinese Herbal Tea Consumer Survey Data | Chinese_Herbal_Tea |
| Two-Sample Covariance Test by Cai, Liu and Xia (2013) | CLX |
| One-Sample Covariance Test by Cai and Ma (2013) | cm13 |
| Concrete Compressive Strength | concrete |
| Apply the FanPC method to the Truncated factor model | FanPC_TFM |
| Daily Google Stock Data | GOOG |
| Two-Sample Covariance Test by Li and Chen (2012) | LC |
| New Energy Vehicle Purchase Intention Survey Data | new_energy_vehicle |
| Data Frame 'protein' | protein |
| Real Estate Valuation | real_estate_valuation |
| Travel Review Dataset | review |
| Riboflavin Production Data | riboflavin |
| Riboflavin Production Data (Top 100 Genes) | riboflavinv100 |
| One Sample Covariance Test by Srivastava, Yanagihara, and Kubokawa (2014) | syk |
| Taxi Trip Pricing | taxi_trip_pricing |
| Truncated Factor Model Data Generator | TFM |
| T-test for Truncated Factor Model | ttest.TFM |
| White Wine Quality | winequality.white |
| Yacht Hydrodynamics | yacht_hydrodynamics |
