{ "_id": "6a27b12524555f66ed536078", "Package": "RGAN", "Title": "Generative Adversarial Nets (GAN) in R", "Version": "0.2.0", "Authors@R": "person(given = \"Marcel\",\nfamily = \"Neunhoeffer\",\nrole = c(\"aut\", \"cre\"),\nemail = \"marcel.neunhoeffer@gmail.com\",\ncomment = c(ORCID = \"0000-0002-9137-5785\"))", "Description": "An easy way to get started with Generative Adversarial\nNets (GAN) in R. The GAN algorithm was initially described by\nGoodfellow et al. 2014\n.\nA GAN can be used to learn the joint distribution of complex\ndata by comparison. A GAN consists of two neural networks a\nGenerator and a Discriminator, where the two neural networks\nplay an adversarial minimax game. Built-in GAN models make the\ntraining of GANs in R possible in one line and make it easy to\nexperiment with different design choices (e.g. different\nnetwork architectures, value functions, optimizers). The\nbuilt-in GAN models work with tabular data (e.g. to produce\nsynthetic data) and image data. Methods to post-process the\noutput of GAN models to enhance the quality of samples are\navailable.", "License": "MIT + file LICENSE", "URL": "https://github.com/mneunhoe/RGAN", "BugReports": "https://github.com/mneunhoe/RGAN/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Repository": "https://mneunhoe.r-universe.dev", "Date/Publication": "2026-01-09 22:40:27 UTC", "RemoteUrl": "https://github.com/mneunhoe/rgan", "RemoteRef": "HEAD", "RemoteSha": "5655165cfed72e40428e99342f2570678f3dac95", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 05:51:23 UTC", "User": "root" }, "Author": "Marcel Neunhoeffer [aut, cre] (ORCID:\n)", "Maintainer": "Marcel Neunhoeffer ", "MD5sum": "4dd4ee6352ad8ddb5449d1cfa70839d4", "_user": "mneunhoe", "_type": "src", "_file": "RGAN_0.2.0.tar.gz", "_fileid": "d4ae1625797eeb00c5b136ad3809d39096dfef7625e59eb04028838abf095b9a", "_filesize": 413784, 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4.5 \n", "time": 1767998427 }, "_maintainer": { "name": "Marcel Neunhoeffer", "email": "marcel.neunhoeffer@gmail.com", "orcid": "0000-0002-9137-5785" }, "_registered": true, "_dependencies": [ { "package": "cli", "role": "Imports" }, { "package": "R6", "role": "Imports" }, { "package": "torch", "role": "Imports" }, { "package": "viridis", "role": "Imports" }, { "package": "opendp", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "mneunhoe", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-02", "n": 40 } ], "_tags": [ { "name": "v0.2.0", "date": "2026-01-09" } ], "_stars": 18, "_userbio": { "uuid": 21174641, "type": "user", "name": "Marcel Neunhoeffer" }, "_downloads": { "count": 190, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RGAN" }, "_devurl": "https://github.com/mneunhoe/rgan", "_searchresults": 11, 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