Package: brnn 0.9.3
Paulino Perez Rodriguez
brnn: Bayesian Regularization for Feed-Forward Neural Networks
Bayesian regularization for feed-forward neural networks.
Authors:
brnn_0.9.3.tar.gz
brnn_0.9.3.tar.gz(r-4.5-noble)brnn_0.9.3.tar.gz(r-4.4-noble)
brnn_0.9.3.tgz(r-4.4-emscripten)brnn_0.9.3.tgz(r-4.3-emscripten)
brnn.pdf |brnn.html✨
brnn/json (API)
| # Install 'brnn' in R: |
| install.packages('brnn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- D - Genomic dominant relationship matrix for the Jersey dataset.
- G - Genomic additive relationship matrix for the Jersey dataset.
- GOrd - Genomic additive relationship matrix for the GLS dataset.
- partitions - Partitions for cross validation
- pheno - Phenotypic information for Jersey
- phenoOrd - Phenotypic information for GLS
- twoinput - 2 Inputs and 1 output.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:2ebade193b. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 04 2024 |
| R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:brnnbrnn_extendedbrnn_ordinalcoef.brnncoef.brnn_extendedestimate.traceinitnwnormalizepredict.brnnpredict.brnn_extendedpredict.brnn_ordinalprint.brnnprint.brnn_extendedprint.brnn_ordinalsummary.brnnsummary.brnn_extendedsummary.brnn_ordinalun_normalize
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| brnn | brnn brnn.default brnn.formula coef.brnn print.brnn summary.brnn |
| brnn_extended | brnn_extended brnn_extended.default brnn_extended.formula coef.brnn_extended print.brnn_extended summary.brnn_extended |
| brnn_ordinal | brnn_ordinal brnn_ordinal.default brnn_ordinal.formula print.brnn_ordinal summary.brnn_ordinal |
| Genomic dominant relationship matrix for the Jersey dataset. | D |
| estimate.trace | estimate.trace |
| Genomic additive relationship matrix for the Jersey dataset. | G |
| Genomic additive relationship matrix for the GLS dataset. | GOrd |
| Initialize networks weights and biases | initnw |
| Jacobian | jacobian |
| normalize | normalize |
| Partitions for cross validation (CV) | partitions |
| Phenotypic information for Jersey | pheno |
| Phenotypic information for GLS (ordinal trait) | phenoOrd |
| predict.brnn | predict.brnn |
| predict.brnn_extended | predict.brnn_extended |
| predict.brnn_ordinal | predict.brnn_ordinal |
| 2 Inputs and 1 output. | twoinput |
| un_normalize | un_normalize |