CRAN Package Check Results for Package netmeta

Last updated on 2017-10-21 22:46:48.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9-6 1.18 103.88 105.07 OK
r-devel-linux-x86_64-debian-gcc 0.9-6 1.14 105.43 106.57 OK
r-devel-linux-x86_64-fedora-clang 0.9-6 193.73 OK
r-devel-linux-x86_64-fedora-gcc 0.9-6 196.64 OK
r-devel-windows-ix86+x86_64 0.9-6 4.00 246.00 250.00 OK
r-patched-linux-x86_64 0.9-6 1.08 98.02 99.11 OK
r-patched-solaris-x86 0.9-6 206.00 OK
r-release-linux-x86_64 0.9-6 1.12 103.29 104.42 OK
r-release-windows-ix86+x86_64 0.9-6 6.00 238.00 244.00 OK
r-release-osx-x86_64 0.9-6 ERROR
r-oldrel-windows-ix86+x86_64 0.9-6 4.00 241.00 245.00 OK
r-oldrel-osx-x86_64 0.9-6 OK

Check Details

Version: 0.9-6
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘hasseDiagram’
Flavor: r-release-osx-x86_64

Version: 0.9-6
Check: Rd cross-references
Result: NOTE
    Package unavailable to check Rd xrefs: ‘hasseDiagram’
Flavor: r-release-osx-x86_64

Version: 0.9-6
Check: examples
Result: ERROR
    Running examples in ‘netmeta-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: hasse
    > ### Title: Hasse diagram
    > ### Aliases: hasse
    > ### Keywords: Hasse diagram hplot
    >
    > ### ** Examples
    >
    > # Use depression dataset
    > #
    > data(Linde2015)
    > #
    > # Define order of treatments
    > #
    > trts <- c("TCA", "SSRI", "SNRI", "NRI",
    + "Low-dose SARI", "NaSSa", "rMAO-A", "Hypericum",
    + "Placebo")
    > #
    > # Outcome labels
    > #
    > outcomes <- c("Early response", "Early remission")
    > #
    > # (1) Early response
    > #
    > p1 <- pairwise(treat = list(treatment1, treatment2, treatment3),
    + event = list(resp1, resp2, resp3),
    + n = list(n1, n2, n3),
    + studlab = id, data = Linde2015, sm = "OR")
    Warning: Comparisons with missing TE / seTE or zero seTE will not be considered in network meta-analysis.
    Comparisons will not be considered in network meta-analysis:
     TE seTE studlab treat1 treat2 event1 n1 event2 n2 incr allstudies
     NA NA 14 TCA SSRI NA 10 NA 11 0 FALSE
     NA NA 18 TCA Placebo NA 73 NA 73 0 FALSE
     NA NA 21 TCA rMAO-A NA 46 NA 98 0 FALSE
     NA NA 27 SSRI Placebo NA 80 NA 81 0 FALSE
     NA NA 51 TCA rMAO-A NA 71 NA 71 0 FALSE
     NA NA 130 TCA NaSSa NA 35 NA 36 0 FALSE
     NA NA 131 SSRI SNRI NA 697 NA 688 0 FALSE
     NA NA 130 TCA Placebo NA 35 NA 34 0 FALSE
     NA NA 130 NaSSa Placebo NA 36 NA 34 0 FALSE
    > #
    > net1 <- netmeta(p1,
    + comb.fixed = FALSE, comb.random = TRUE,
    + seq = trts, ref = "Placebo")
    Warning: Comparisons with missing TE / seTE or zero seTE not considered in network meta-analysis.
    Comparisons not considered in network meta-analysis:
     studlab treat1 treat2 TE seTE
     14 TCA SSRI NA NA
     18 TCA Placebo NA NA
     21 TCA rMAO-A NA NA
     27 SSRI Placebo NA NA
     51 TCA rMAO-A NA NA
     130 NaSSa Placebo NA NA
     130 TCA NaSSa NA NA
     130 TCA Placebo NA NA
     131 SSRI SNRI NA NA
    Warning: Note, treatments within a comparison have been re-sorted in increasing order.
    > #
    > # (2) Early remission
    > #
    > p2 <- pairwise(treat = list(treatment1, treatment2, treatment3),
    + event = list(remi1, remi2, remi3),
    + n = list(n1, n2, n3),
    + studlab = id, data = Linde2015, sm = "OR")
    Warning: Comparisons with missing TE / seTE or zero seTE will not be considered in network meta-analysis.
    Comparisons will not be considered in network meta-analysis:
     TE seTE studlab treat1 treat2 event1 n1 event2 n2 incr allstudies
     NA NA 1 TCA SNRI NA 75 NA 78 0.0 FALSE
     NA NA 11 TCA SSRI NA 108 NA 99 0.0 FALSE
     NA NA 14 TCA SSRI NA 10 NA 11 0.0 FALSE
     NA NA 18 TCA Placebo NA 73 NA 73 0.0 FALSE
     NA NA 20 TCA SSRI NA 55 NA 51 0.0 FALSE
     NA NA 26 SSRI Placebo NA 314 NA 154 0.0 FALSE
     NA NA 53 SSRI NaSSa NA 122 NA 121 0.0 FALSE
     NA NA 56 TCA SSRI NA 92 NA 380 0.0 FALSE
     NA NA 73 Hypericum Placebo NA 55 NA 57 0.0 FALSE
     NA NA 90 TCA SSRI NA 42 NA 42 0.0 FALSE
     NA NA 96 TCA SSRI 0 30 0 29 0.5 FALSE
     NA NA 121 Low-dose SARI NaSSa NA 43 NA 40 0.0 FALSE
     NA NA 130 TCA NaSSa NA 35 NA 36 0.0 FALSE
     NA NA 1 TCA Placebo NA 75 NA 76 0.0 FALSE
     NA NA 11 TCA Placebo NA 108 NA 101 0.0 FALSE
     NA NA 53 SSRI Placebo NA 122 NA 129 0.0 FALSE
     NA NA 130 TCA Placebo NA 35 NA 34 0.0 FALSE
     NA NA 1 SNRI Placebo NA 78 NA 76 0.0 FALSE
     NA NA 11 SSRI Placebo NA 99 NA 101 0.0 FALSE
     NA NA 53 NaSSa Placebo NA 121 NA 129 0.0 FALSE
     NA NA 130 NaSSa Placebo NA 36 NA 34 0.0 FALSE
    > #
    > net2 <- netmeta(p2,
    + comb.fixed = FALSE, comb.random = TRUE,
    + seq = trts, ref = "Placebo")
    Warning: Comparisons with missing TE / seTE or zero seTE not considered in network meta-analysis.
    Comparisons not considered in network meta-analysis:
     studlab treat1 treat2 TE seTE
     1 TCA Placebo NA NA
     1 TCA SNRI NA NA
     1 SNRI Placebo NA NA
     11 SSRI Placebo NA NA
     11 TCA Placebo NA NA
     11 TCA SSRI NA NA
     14 TCA SSRI NA NA
     18 TCA Placebo NA NA
     20 TCA SSRI NA NA
     26 SSRI Placebo NA NA
     53 NaSSa Placebo NA NA
     53 SSRI NaSSa NA NA
     53 SSRI Placebo NA NA
     56 TCA SSRI NA NA
     73 Hypericum Placebo NA NA
     90 TCA SSRI NA NA
     96 TCA SSRI NA NA
     121 Low-dose SARI NaSSa NA NA
     130 NaSSa Placebo NA NA
     130 TCA NaSSa NA NA
     130 TCA Placebo NA NA
    Warning: Note, treatments within a comparison have been re-sorted in increasing order.
    > #
    > # Partial order of treatment rankings (all five outcomes)
    > #
    > po <- netposet(netrank(net1, small.values = "bad"),
    + netrank(net2, small.values = "bad"),
    + outcomes = outcomes)
    > #
    > # Hasse diagram
    > #
    > hasse(po)
    Error: Library 'hasseDiagram' missing.
     Please use the following R commands for installation:
     source("https://bioconductor.org/biocLite.R")
     biocLite("Rgraphviz")
     install.packages("hasseDiagram")
    Execution halted
Flavor: r-release-osx-x86_64