{ "_id": "6a1f3033b401979e7342776b", "Package": "Reacnorm", "Type": "Package", "Title": "Perform a Partition of Variance of Reaction Norms", "Version": "0.2.1", "Date": "2025-01-23", "Authors@R": "person(given = \"Pierre\",\nfamily = \"de Villemereuil\",\nrole = c(\"aut\", \"cre\"),\nemail = \"pierre.de-villemereuil@mnhn.fr\")", "BugReports": "https://github.com/devillemereuil/reacnorm/issues", "Description": "Partitions the phenotypic variance of a plastic trait,\nstudied through its reaction norm. The variance partition\ndistinguishes between the variance arising from the average\nshape of the reaction norms (V_Plas) and the (additive) genetic\nvariance . The latter is itself separated into an\nenvironment-blind component (V_G/V_A) and the component arising\nfrom plasticity (V_GxE/V_AxE). The package also provides a way\nto further partition V_Plas into aspects (slope/curvature) of\nthe shape of the average reaction norm (pi-decomposition) and\npartition V_Add (gamma-decomposition) and V_AxE\n(iota-decomposition) into the impact of genetic variation in\nthe reaction norm parameters. Reference: de Villemereuil &\nChevin (2025) .", "Encoding": "UTF-8", "VignetteBuilder": "R.rsp", "LazyData": "true", "License": "GPL-3", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://devillemereuil.r-universe.dev", "Date/Publication": "2026-04-15 09:14:26 UTC", "RemoteUrl": "https://github.com/devillemereuil/reacnorm", "RemoteRef": "HEAD", "RemoteSha": "733bbe4ce436f6523427449f382e3d3bb8a93a15", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-15 08:53:32 UTC", "User": "root" }, "Author": "Pierre de Villemereuil [aut, cre]", "Maintainer": "Pierre de Villemereuil ", "MD5sum": "efa11c958eb0ac30ad238864c4a44dce", "_user": "devillemereuil", "_type": "src", "_file": "Reacnorm_0.2.1.tar.gz", "_fileid": "78520842fec1f5ed941b98720eb6f8de5d5882caffc0a6f3718106b10f06ca4c", "_filesize": 5021914, "_sha256": "78520842fec1f5ed941b98720eb6f8de5d5882caffc0a6f3718106b10f06ca4c", "_created": "2026-05-15T08:53:32.000Z", "_published": "2026-06-02T19:34:11.702Z", "_distro": 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"Decompose the \\mathbf{G}-matrix from a character-state model", "topics": [ "rn_cs_gen" ] }, { "page": "rn_gamma_env", "title": "Compute the gamma-decomposition of additive genetic variance per environment", "topics": [ "rn_gamma_env" ] }, { "page": "rn_gen_decomp", "title": "Compute the decomposition of the additive genetic variance and their gamma- and iota-decomposition", "topics": [ "rn_gen_decomp" ] }, { "page": "rn_mean_by_env", "title": "Compute the phenotypic mean on the observed scale", "topics": [ "rn_mean_by_env" ] }, { "page": "rn_phi_decomp", "title": "Compute the \\varphi-decomposition of V_{\\text{Plas}}", "topics": [ "rn_phi_decomp" ] }, { "page": "rn_pi_decomp", "title": "Compute the pi-decomposition of V_{\\text{Plas}}", "topics": [ "rn_pi_decomp" ] }, { "page": "rn_vgen", "title": "Compute the total genetic variance V_{\\text{Gen}}", "topics": [ "rn_vgen" ] }, { "page": "rn_vp_env", "title": "Compute the total phenotypic variance V_{\\text{Tot}}", "topics": [ 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