pat-s
a9ad907f9c
- migrate-s3-hetzner-to-backblaze.sh: rclone-based bucket migration helper. - find-R-api-packages.sh: scan CRAN package sources for a C-API usage pattern. - query-pkgs-without-old-versions.R, test-package-loading.R: ad-hoc helpers.
331 lines
4.9 KiB
R
331 lines
4.9 KiB
R
install.packages(
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"pak",
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repos = sprintf(
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"https://r-lib.github.io/p/pak/stable/%s/%s/%s",
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.Platform$pkgType,
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R.Version()$os,
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R.Version()$arch
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)
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)
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Sys.setenv(PKG_SYSREQS = TRUE)
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all_pkgs <- rownames(available.packages())
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to_skip = c("ABRSQOL", "ACA", "ACE.CoCo")
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all_pkgs = setdiff(all_pkgs, to_skip)
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for (i in all_pkgs) {
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message(sprintf("\nInstalling %s", i))
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pak::pkg_install(i)
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library(i, character.only = TRUE)
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}
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# Example data
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all_pkgs <- rownames(available.packages())
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to_skip <- c(
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"ABRSQOL",
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"ACA",
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"ACE.CoCo",
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"ACEsimFit",
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"ACNE",
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"absorber",
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"adapt4pv",
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"adaptMCMC",
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"addhaz",
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"ADDT",
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"ahaz",
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"arm",
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"arules",
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"arulesCBA",
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"aster2",
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"BayesFactor",
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"bc3net",
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"bgsmtr",
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"biglasso",
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"BinNonNor",
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"BinNor",
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"bioassayR",
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"birankr",
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"BiRewire",
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"bolasso",
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"Boptbd",
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"Brobdingnag",
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"BSW",
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"BTLLasso",
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"bvartools",
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"cAIC4",
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"Category",
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"celda",
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"centiserve",
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"cjoint",
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"clinical",
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"clipper",
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"CodataGS",
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"conos",
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"CopulaInference",
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"covEB",
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"cplm",
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"CRTgeeDR",
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"cthreshER",
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"ctmcmove",
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"curephEM",
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"CVST",
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"dcGSA",
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"dclone",
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"dcsvm",
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"DelayedArray",
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"dglars",
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"dhglm",
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"disordR",
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"distrom",
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"dmm",
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"DNABarcodes",
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"DoubleCone",
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"DRR",
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"DTRlearn2",
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"DWDLargeR",
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"eds",
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"EMCluster",
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"EMMREML",
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"evalITR",
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"EventPointer",
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"evola",
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"excursions",
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"expm",
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"fanc",
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"FAS",
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"fastadi",
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"fastPLS",
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"fastRG",
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"fdaPDE",
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"flare",
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"FoReco",
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"frailtyHL",
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"freebird",
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"FSTpackage",
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"gamlr",
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"gamlss.lasso",
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"gamm4",
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"gbmt",
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"gdim",
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"gdistance",
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"GeDS",
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"geeM",
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"genlasso",
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"GenOrd",
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"GenoScan",
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"geomorph",
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"geostatsp",
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"GhostKnockoff",
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"GIGSEA",
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"GlarmaVarSel",
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"glmm",
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"glmmrBase",
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"glmmrOptim",
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"glmnet",
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"glober",
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"GPvam",
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"graphpcor",
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"gremlin",
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"growthrate",
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"grpCox",
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"GSD",
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"HelpersMG",
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"hglm",
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"hglm.data",
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"hibayes",
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"hierSDR",
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"HMTL",
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"hsem",
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"ibmdbR",
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"inca",
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"INLAspacetime",
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"INLAtools",
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"invertiforms",
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"irlba",
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"islasso",
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"ISLET",
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"isotonic.pen",
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"jordan",
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"kinship2",
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"KnockoffScreen",
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"lcpm",
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"leidenAlg",
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"lfe",
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"lingmatch",
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"LKT",
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"lme4",
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"lme4breeding",
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"lme4GS",
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"logcondiscr",
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"LPmerge",
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"LRMF3",
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"MAP",
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"marcox",
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"markovchain",
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"MatrixExtra",
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"matter",
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"MBC",
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"mcen",
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"mclogit",
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"MCMCglmm",
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"mdhglm",
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"MDPtoolbox",
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"mediation",
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"mefa4",
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"metafor",
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"mgwrsar",
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"mi",
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"midasml",
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"mind",
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"monocle",
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"msda",
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"MuData",
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"MultiGlarmaVarSel",
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"MultiOrd",
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"MultiVarSel",
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"mvglmmRank",
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"N2R",
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"nadiv",
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"NBtsVarSel",
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"NegBinBetaBinreg",
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"NetworkRiskMeasures",
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"neuroim2",
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"NOISeq",
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"numbat",
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"optbdmaeAT",
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"optimbase",
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"OptimModel",
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"optrcdmaeAT",
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"OrdNor",
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"pagoda2",
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"PCovR",
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"pedgene",
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"pedigree",
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"pedigreemm",
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"pense",
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"PERMANOVA",
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"phateR",
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"PhylogeneticEM",
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"pleio",
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"POINT",
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"PoisBinNonNor",
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"PoisBinOrd",
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"PoisBinOrdNonNor",
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"PoisBinOrdNor",
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"PoisNonNor",
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"PoisNor",
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"PRISMA",
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"ProbitSpatial",
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"prodest",
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"psqn",
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"qlcMatrix",
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"qpcR",
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"QRM",
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"quadrupen",
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"QZ",
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"ramps",
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"randnet",
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"randPedPCA",
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"rBMF",
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"RCBR",
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"RealVAMS",
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"REBayes",
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"recommenderlab",
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"Rediscover",
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"reglogit",
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"RESET",
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"RGE",
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"RGENERATEPREC",
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"riemtan",
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"RNewsflow",
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"robustlmm",
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"rsparse",
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"rSPDE",
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"rwc",
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"S4Arrays",
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"saeMSPE",
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"sbw",
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"scITD",
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"scoup",
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"sdwd",
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"SEAGLE",
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"sensory",
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"serrsBayes",
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"sglasso",
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"sharpPen",
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"SiPSiC",
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"SKAT",
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"snpReady",
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"snpStats",
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"softImpute",
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"sommer",
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"soptdmaeA",
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"SOR",
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"SparseArray",
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"SparseChol",
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"sparseLRMatrix",
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"sparsenet",
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"sparsenetgls",
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"sparsestep",
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"spatialprobit",
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"spatialreg",
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"spatstat.sparse",
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"speedglm",
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"sRDA",
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"sSDR",
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"ssfa",
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"stcos",
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"StratifiedSampling",
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"sureLDA",
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"survey",
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"surveyvoi",
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"svydiags",
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"systemfit",
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"TargetScore",
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"text2map",
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"textir",
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"textmineR",
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"textTinyR",
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"tmvtnorm",
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"TPEA",
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"triversity",
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"tsapp",
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"tvReg",
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"uwot",
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"vagam",
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"VAM",
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"WaveSampling",
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"WGScan",
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"wordspace",
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"workflowsets",
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"ACSSpack",
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"ADDT",
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"AER"
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)
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# Find the position of the last package in to_skip within all_pkgs
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last_skip <- tail(to_skip, 1)
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# Find its position in all_pkgs (returns NA if not found)
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start_pos <- match(last_skip, all_pkgs)
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# If not found, start from the beginning; else, start after last_skip
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if (is.na(start_pos)) {
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to_process <- all_pkgs
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} else {
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to_process <- all_pkgs[(start_pos + 1):length(all_pkgs)]
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}
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if (length(to_process) == 0) {
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message("All packages have been processed.")
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} else {
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for (i in to_process) {
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message(sprintf("\nInstalling %s", i))
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pak::pkg_install(i)
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library(i, character.only = TRUE)
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}
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# Update to_skip to include all up to the last processed
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to_skip <- all_pkgs[1:(last_skip_pos + length(to_process))]
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}
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