Package: SELF 0.1.1
Jie Qiao
SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery
Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equational Embedded Likelihood Framework for Causal Discovery. AAAI. 2018."
Authors:
SELF_0.1.1.tar.gz
SELF_0.1.1.tar.gz(r-4.5-noble)SELF_0.1.1.tar.gz(r-4.4-noble)
SELF_0.1.1.tgz(r-4.4-emscripten)
SELF.pdf |SELF.html✨
SELF/json (API)
NEWS
| # Install 'SELF' in R: |
| install.packages('SELF', repos = c('https://cran.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 7 years agofrom:3a6a5b10d7. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:fhcindicatorsmmpcAnmrandomGraphsynthetic_data_linearsynthetic_data_nonlinear
Dependencies:bnlearnCompareCausalNetworksdata.tableexpmjsonlitelatticeMatrixRcppxgboost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery | SELF-package SELF |
| Fast Hill-Climbing | fhc |
| Calculate the f1,precision,recall score of the graph | indicators |
| mmpc algorithm with additive noise model | mmpcAnm |
| Generate a random graph | randomGraph |
| synthetic linear data base on the graph | synthetic_data_linear |
| synthetic nonlinear data base on the graph | synthetic_data_nonlinear |