{ "_id": "6a169b8bacfb0bcc41d7e36a", "Package": "isingLenzMC", "Version": "0.3.1", "Date": "2026-02-26", "Title": "Monte Carlo for Classical Ising Model", "Authors@R": "c(\nperson(\"Mehmet\", \"Suzen\",\nemail = \"mehmet.suzen@physics.org\", role = c(\"aut\", \"cre\")))", "Maintainer": "Mehmet Suzen ", "NeedsCompilation": "yes", "BuildVignettes": "yes", "Description": "Classical Ising Model is a land mark system in statistical\nphysics.The model explains the physics of spin glasses and\nmagnetic materials, and cooperative phenomenon in general, for\nexample phase transitions and neural networks.This package\nprovides utilities to simulate one dimensional Ising Model with\nMetropolis and Glauber Monte Carlo with single flip dynamics in\nperiodic boundary conditions. Utility functions for exact\nsolutions are provided. Such as transfer matrix for 1D. Utility\nfunctions for exact solutions are provided. Example use cases\nare as follows: Measuring effective ergodicity and power-laws\nin so called functional-diffusion. Example usage contains\nparallel runs, fitting power-laws, finite size scaling,\ncomputing autocorrelation, uncertainty analysis and plotting\nutilities.", "License": "GPL (>= 3)", "Packaged": { "Date": "2026-05-27 07:19:21 UTC", "User": "root" }, "Author": "Mehmet Suzen [aut, cre]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-02-26 13:46:09 UTC", "RemoteUrl": "https://github.com/cran/isingLenzMC", "RemoteRef": "HEAD", "RemoteSha": "c76cfed6ed5eb73bca16ef0f8f901b262034a53d", "MD5sum": "0d9ffe0c9ef8ba91afed8ee8c0cc1ff6", "_user": "cran", "_type": "src", "_file": "isingLenzMC_0.3.1.tar.gz", "_fileid": "1f6513de3b16d4433e07c3d2735f78e12c0a1e2de0d67735714d0b593de436c0", "_filesize": 317320, "_sha256": "1f6513de3b16d4433e07c3d2735f78e12c0a1e2de0d67735714d0b593de436c0", "_created": "2026-05-27T07:19:21.000Z", "_published": "2026-05-27T07:21:47.808Z", "_distro": "noble", "_jobs": [ { "job": 78027146024, "time": 96, "config": "linux-devel-arm64", "r": "4.7.0", 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"title": "Flip a single site randomly many times", "topics": [ "flipConfig1Dmany" ] }, { "page": "genConfig1D", "title": "Generate one dimensional spin sites randomly", "topics": [ "genConfig1D" ] }, { "page": "genConfig1D_R", "title": "Generate one dimensional spin sites randomly", "topics": [ "genConfig1D_R" ] }, { "page": "genUniform", "title": "Get uniformly a spin state", "topics": [ "genUniform" ] }, { "page": "isPerform1D", "title": "Perform metropolis MC on 1D Ising model", "topics": [ "isPerform1D" ] }, { "page": "isStep1D", "title": "Carry one step Metropolis Monte Carlo on 1D ising model", "topics": [ "isStep1D" ] }, { "page": "lattice1DenergyNN", "title": "Nearest-Neighbour energy in periodic boundary conditions in 1D", "topics": [ "lattice1DenergyNN" ] }, { "page": "lattice1DenergyNN_R", "title": "Nearest-Neighbour energy in periodic boundary conditions in 1D", "topics": [ "lattice1DenergyNN_R" ] }, { "page": "sumVec", "title": "Sum given vector", "topics": [ "sumVec" ] }, { "page": "sumVec_R", "title": "Sum given vector", "topics": [ "sumVec_R" ] }, { "page": "totalEnergy1D", "title": "Total energy in periodic boundary conditions in 1D", "topics": [ "totalEnergy1D" ] }, { "page": "totalEnergy1D_R", "title": "Total energy in periodic boundary conditions in 1D", "topics": [ "totalEnergy1D_R" ] }, { "page": "transferMatrix", "title": "Compute theoretical transfer matrix", "topics": [ "transferMatrix" ] }, { "page": "transitionProbability1D", "title": "Compute transition probability using Boltzmann distribution.", "topics": [ "transitionProbability1D" ] }, { "page": "transitionProbability1D_R", "title": "Compute transition probability using Boltzmann distribution.", "topics": [ "transitionProbability1D_R" ] } ], "_readme": "https://github.com/cran/isingLenzMC/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "isingLenzMC.Rnw", "filename": "isingLenzMC.pdf", "title": "Ising Model: Single spin flip dynamics", "engine": "utils::Sweave", 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