CRAN Package Check Results for Package LabourMarketAreas

Last updated on 2025-10-31 01:49:01 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	3.4	37.54	326.98	364.52	NOTE
r-devel-linux-x86_64-debian-gcc	3.4	25.18	214.18	239.36	NOTE
r-devel-linux-x86_64-fedora-clang	3.4	158.00	461.31	619.31	NOTE
r-devel-linux-x86_64-fedora-gcc	3.4	79.00	499.51	578.51	NOTE
r-devel-windows-x86_64	3.4	36.00	265.00	301.00	NOTE
r-patched-linux-x86_64	3.4	33.27	307.84	341.11	NOTE
r-release-linux-x86_64	3.4	35.96	308.29	344.25	NOTE
r-release-macos-arm64	3.4	16.00	126.00	142.00	NOTE
r-release-macos-x86_64	3.4	31.00	240.00	271.00	NOTE
r-release-windows-x86_64	3.4	38.00	263.00	301.00	NOTE
r-oldrel-macos-arm64	3.4	15.00	117.00	132.00	NOTE
r-oldrel-macos-x86_64	3.4	25.00	180.00	205.00	NOTE
r-oldrel-windows-x86_64	3.4	50.00	370.00	420.00	NOTE

Check Details

Version: 3.4
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Luisa Franconi <franconi@istat.it>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Daniela", family = "Ichim", role = "aut"), person(given = "Luisa", family = "Franconi", role = c("aut", "cre"), email = "franconi@istat.it"), person(given = "Michele", family = "D'Alo'", role = "aut"), person(given = "Guido", family = "van den Heuvel", role = "aut")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 3.4
Check: Rd files
Result: NOTE checkRd: (-1) StatClusterData.Rd:34: Lost braces 34 | \bold{LMA: }{ positive integer; labour market areas ID} | ^ checkRd: (-1) StatClusterData.Rd:36: Lost braces 36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} | ^ checkRd: (-1) StatClusterData.Rd:38: Lost braces 38 | \bold{EMP_work: }{numeric; number of commuters working in the area} | ^ checkRd: (-1) StatClusterData.Rd:40: Lost braces 40 | \bold{validity: }{numeric; validity value computed with the current parameters} | ^ checkRd: (-1) StatClusterData.Rd:42: Lost braces 42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area} | ^ checkRd: (-1) StatClusterData.Rd:44: Lost braces 44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) } | ^ checkRd: (-1) StatClusterData.Rd:46-48: Lost braces 46 | \bold{Home_Work_Ratio: }{numeric; the quantity | ^ checkRd: (-1) StatClusterData.Rd:50: Lost braces 50 | \bold{SC_demand_side: }{numeric; demand side self-containment} | ^ checkRd: (-1) StatClusterData.Rd:52: Lost braces 52 | \bold{SC_supply_side: }{numeric; supply side self-containment} | ^ checkRd: (-1) StatClusterData.Rd:54: Lost braces 54 | \bold{N_com: }{integer; number of communities forming the LMA} | ^ checkRd: (-1) StatClusterData.Rd:56-57: Lost braces 56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1]. | ^ checkRd: (-1) StatClusterData.Rd:59-60: Lost braces 59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3]. | ^ checkRd: (-1) StatClusterData.Rd:62-63: Lost braces 62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows). | ^ checkRd: (-1) StatClusterData.Rd:65: Lost braces 65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } | ^ checkRd: (-1) StatClusterData.Rd:67: Lost braces 67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)} | ^ checkRd: (-1) StatClusterData.Rd:74: Lost braces 74 | \bold{N_links: }{numeric; number of links between LMAs} | ^ checkRd: (-1) StatClusterData.Rd:76: Lost braces 76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold} | ^ checkRd: (-1) StatClusterData.Rd:78: Lost braces 78 | \bold{summFlows: }{numeric vector; summary statistics on flows} | ^ checkRd: (-1) StatClusterData.Rd:80: Lost braces 80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows} | ^ checkRd: (-1) StatClusterData.Rd:82: Lost braces 82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows} | ^ checkRd: (-1) StatClusterData.Rd:84: Lost braces 84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows} | ^ checkRd: (-1) StatClusterData.Rd:86: Lost braces 86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows} | ^ checkRd: (-1) StatClusterData.Rd:88: Lost braces 88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows} | ^ checkRd: (-1) StatClusterData.Rd:90: Lost braces 90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows} | ^ checkRd: (-1) StatClusterData.Rd:92: Lost braces 92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows} | ^ checkRd: (-1) StatClusterData.Rd:98: Lost braces 98 | \bold{NbClusters: }{integer; number of clusters} | ^ checkRd: (-1) StatClusterData.Rd:100: Lost braces 100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community} | ^ checkRd: (-1) StatClusterData.Rd:102: Lost braces 102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1} | ^ checkRd: (-1) StatClusterData.Rd:104: Lost braces 104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 } | ^ checkRd: (-1) StatClusterData.Rd:106: Lost braces 106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition } | ^ checkRd: (-1) StatClusterData.Rd:108: Lost braces 108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment } | ^ checkRd: (-1) StatClusterData.Rd:110: Lost braces 110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition } | ^ checkRd: (-1) StatClusterData.Rd:112: Lost braces 112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment } | ^ checkRd: (-1) StatClusterData.Rd:114: Lost braces 114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows } | ^ checkRd: (-1) StatClusterData.Rd:116: Lost braces 116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows} | ^ checkRd: (-1) StatClusterData.Rd:118: Lost braces 118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows } | ^ checkRd: (-1) StatClusterData.Rd:120: Lost braces 120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink } | ^ checkRd: (-1) StatClusterData.Rd:122: Lost braces 122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink} | ^ checkRd: (-1) StatClusterData.Rd:124: Lost braces 124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink } | ^ checkRd: (-1) StatClusterData.Rd:126: Lost braces 126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents } | ^ checkRd: (-1) StatClusterData.Rd:128: Lost braces 128 | \bold{Q2.EMP_live: }{numeric; median of the residents} | ^ checkRd: (-1) StatClusterData.Rd:130: Lost braces 130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents } | ^ checkRd: (-1) StatClusterData.Rd:132: Lost braces 132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents } | ^ checkRd: (-1) StatClusterData.Rd:134: Lost braces 134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents } | ^ checkRd: (-1) StatClusterData.Rd:136: Lost braces 136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents } | ^ checkRd: (-1) StatClusterData.Rd:138: Lost braces 138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents } | ^ checkRd: (-1) StatClusterData.Rd:140: Lost braces 140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs } | ^ checkRd: (-1) StatClusterData.Rd:142: Lost braces 142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs} | ^ checkRd: (-1) StatClusterData.Rd:144: Lost braces 144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs } | ^ checkRd: (-1) StatClusterData.Rd:146: Lost braces 146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers } | ^ checkRd: (-1) StatClusterData.Rd:148: Lost braces 148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers } | ^ checkRd: (-1) StatClusterData.Rd:150: Lost braces 150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers } | ^ checkRd: (-1) StatClusterData.Rd:152: Lost braces 152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers } | ^ checkRd: (-1) StatClusterData.Rd:154: Lost braces 154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area} | ^ checkRd: (-1) StatClusterData.Rd:156: Lost braces 156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area} | ^ checkRd: (-1) StatClusterData.Rd:158: Lost braces 158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area } | ^ checkRd: (-1) StatClusterData.Rd:160: Lost braces 160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area } | ^ checkRd: (-1) StatClusterData.Rd:162: Lost braces 162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area } | ^ checkRd: (-1) StatClusterData.Rd:164: Lost braces 164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) } | ^ checkRd: (-1) StatClusterData.Rd:166: Lost braces 166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) } | ^ checkRd: (-1) StatClusterData.Rd:168-170: Lost braces 168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity | ^ checkRd: (-1) StatClusterData.Rd:171-173: Lost braces 171 | \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity | ^ checkRd: (-1) StatClusterData.Rd:175: Lost braces 175 | \bold{Q_modularity: }{numeric; Q_modularity index } | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64