Package: IsingSampler 0.5.0
Sacha Epskamp
IsingSampler: Sampling Methods and Distribution Functions for the Ising Model
Sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractability of the Ising model the distribution can only be computed up to roughly 10 nodes. The Blume-Capel model, an Ising model with an additional on-site quadratic (crystal-field) term, is also supported.
Authors:
IsingSampler_0.5.0.tar.gz
IsingSampler_0.5.0.zip(r-4.7-x86_64)IsingSampler_0.5.0.zip(r-4.7-arm64)IsingSampler_0.5.0.zip(r-4.6-x86_64)IsingSampler_0.5.0.zip(r-4.6-arm64)IsingSampler_0.5.0.zip(r-4.5-x86_64)
IsingSampler_0.5.0.tgz(r-4.6-x86_64)IsingSampler_0.5.0.tgz(r-4.6-arm64)IsingSampler_0.5.0.tgz(r-4.5-x86_64)IsingSampler_0.5.0.tgz(r-4.5-arm64)
IsingSampler_0.5.0.tar.gz(r-4.7-arm64)IsingSampler_0.5.0.tar.gz(r-4.7-x86_64)IsingSampler_0.5.0.tar.gz(r-4.6-arm64)IsingSampler_0.5.0.tar.gz(r-4.6-x86_64)
IsingSampler_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
IsingSampler/json (API)
| # Install 'IsingSampler' in R: |
| install.packages('IsingSampler', repos = c('https://sachaepskamp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sachaepskamp/isingsampler/issues
Last updated from:25947d1c3e. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 119 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 167 | ||
| linux-release-arm64 | OK | 101 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 200 | ||
| macos-release-x86_64 | OK | 292 | ||
| macos-oldrel-arm64 | OK | 187 | ||
| macos-oldrel-x86_64 | OK | 438 | ||
| windows-devel-arm64 | OK | 415 | ||
| windows-devel-x86_64 | OK | 219 | ||
| windows-release-arm64 | OK | 581 | ||
| windows-release-x86_64 | OK | 228 | ||
| windows-oldrel-x86_64 | OK | 189 | ||
| wasm-release | OK | 153 |
Exports:BlumeCapelSamplerEstimateIsingEstimateIsingBiEstimateIsingLLEstimateIsingPLEstimateIsingUniIsingEntrophyIsingEntropyIsingLikelihoodIsingPLIsingSamplerIsingStateProbIsingSumLikelihoodLinTransformNodeInformation
Dependencies:clidplyrgenericsgluelifecyclemagrittrnnetpillarpkgconfigplyrR6Rcpprlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sampling methods and distribution functions for the Ising model | IsingSampler-package |
| Sample states from the Blume-Capel model | BlumeCapelSampler |
| non-regularized estimation methods for the Ising Model | EstimateIsing EstimateIsingBi EstimateIsingLL EstimateIsingPL EstimateIsingUni |
| Entropy of the Ising Model | IsingEntrophy IsingEntropy |
| Likelihood of all states from tractible Ising model. | IsingLikelihood |
| Pseudo-likelihood | IsingPL |
| Sample states from the Ising model | IsingSampler |
| Likelihood of single state from tractible Ising model. | IsingStateProb |
| Likelihood of sumscores from tractible Ising model. | IsingSumLikelihood |
| Transform parameters for linear transformations on response catagories | LinTransform |
| Mutual information between each node and the rest of the network | NodeInformation |