Package: PressPurt 1.0.2
PressPurt: Indeterminacy of Networks via Press Perturbations
This is a computational package designed to identify the most sensitive interactions within a network which must be estimated most accurately in order to produce qualitatively robust predictions to a press perturbation. This is accomplished by enumerating the number of sign switches (and their magnitude) in the net effects matrix when an edge experiences uncertainty. The package produces data and visualizations when uncertainty is associated to one or more edges in the network and according to a variety of distributions. The software requires the network to be described by a system of differential equations but only requires as input a numerical Jacobian matrix evaluated at an equilibrium point. This package is based on Koslicki, D., & Novak, M. (2017) <doi:10.1007/s00285-017-1163-0>.
Authors:
PressPurt_1.0.2.tar.gz
PressPurt_1.0.2.zip(r-4.5)PressPurt_1.0.2.zip(r-4.4)PressPurt_1.0.2.zip(r-4.3)
PressPurt_1.0.2.tgz(r-4.4-any)PressPurt_1.0.2.tgz(r-4.3-any)
PressPurt_1.0.2.tar.gz(r-4.5-noble)PressPurt_1.0.2.tar.gz(r-4.4-noble)
PressPurt_1.0.2.tgz(r-4.4-emscripten)PressPurt_1.0.2.tgz(r-4.3-emscripten)
PressPurt.pdf |PressPurt.html✨
PressPurt/json (API)
NEWS
| # Install 'PressPurt' in R: |
| install.packages('PressPurt', repos = c('https://rtxci.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dkoslicki/presspurt/issues
Last updated 4 years agofrom:f549fef186. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 14 2024 |
| R-4.5-win | OK | Sep 14 2024 |
| R-4.5-linux | OK | Sep 14 2024 |
| R-4.4-win | OK | Sep 14 2024 |
| R-4.4-mac | OK | Sep 14 2024 |
| R-4.3-win | OK | Sep 14 2024 |
| R-4.3-mac | OK | Sep 14 2024 |
Exports:ComputeEntryWisePerturbationExpectationComputeMultiEntryPerturbationExpectationcreate_conda_envcreate_virtual_envfind_pythonGenerateEntryWiseFiguresget_distributions_singlens_to_stepPreprocessMatrixprocess_datapy_dependset_python_condaset_python_virtual
Dependencies:clicolorspacedata.tablefansifarverggplot2gluegridExtragtablehereisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpngR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojrootscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Entry Wise Perturbation Expectation | ComputeEntryWisePerturbationExpectation |
| Compute Multi Entry Perturbation Expectation | ComputeMultiEntryPerturbationExpectation |
| Make a new conda environment | create_conda_env |
| Make a new virtual environment | create_virtual_env |
| Find Python versions, Conda, & Virtual Environments | find_python |
| Generate Entry Wise Figures | GenerateEntryWiseFigures |
| Get PDF distribution | get_distributions_single |
| Num Switch Function to step function | ns_to_step |
| Preprocess Matrix | PreprocessMatrix |
| Convert data to R format if saved to disk | process_data |
| Install Python Dependencies | py_depend |
| Set Python Conda environment | set_python_conda |
| Set your Python Virtual environment | set_python_virtual |
