CRAN Package Check Results for Package rangeModelMetadata

Last updated on 2020-08-07 01:49:56 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.3 4.01 102.58 106.59 OK
r-devel-linux-x86_64-debian-gcc 0.1.3 2.84 76.71 79.55 OK
r-devel-linux-x86_64-fedora-clang 0.1.3 130.46 NOTE
r-devel-linux-x86_64-fedora-gcc 0.1.3 127.94 NOTE
r-devel-windows-ix86+x86_64 0.1.3 25.00 98.00 123.00 WARN
r-patched-linux-x86_64 0.1.3 3.17 100.66 103.83 OK
r-patched-solaris-x86 0.1.3 206.90 NOTE
r-release-linux-x86_64 0.1.3 2.89 100.37 103.26 OK
r-release-macos-x86_64 0.1.3 NOTE
r-release-windows-ix86+x86_64 0.1.3 19.00 117.00 136.00 OK
r-oldrel-macos-x86_64 0.1.3 NOTE
r-oldrel-windows-ix86+x86_64 0.1.3 6.00 109.00 115.00 OK

Check Details

Version: 0.1.3
Check: dependencies in R code
Result: NOTE
    Namespaces in Imports field not imported from:
     ‘MASS’ ‘dplyr’ ‘jsonlite’ ‘rgbif’ ‘rgdal’ ‘rgeos’ ‘sp’ ‘spThin’
     ‘spatstat’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 0.1.3
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building 'rmm_Multispecies.Rmd' using rmarkdown
    Type, vignette("rmm_directory") for an overview of functions
    
     vignette("rmm_vignette") for using the functions
    
     vignette("rmm_workflow") for incorporating rmm in a range modeling workflow, or
    
     vignette("rmm_Multispeices") for including multiple species in a single rmm object
    Loading required package: sp
    --- finished re-building 'rmm_Multispecies.Rmd'
    
    --- re-building 'rmm_directory.Rmd' using rmarkdown
    --- finished re-building 'rmm_directory.Rmd'
    
    --- re-building 'rmm_vignette.Rmd' using rmarkdown
    Type, vignette("rmm_directory") for an overview of functions
    
     vignette("rmm_vignette") for using the functions
    
     vignette("rmm_workflow") for incorporating rmm in a range modeling workflow, or
    
     vignette("rmm_Multispeices") for including multiple species in a single rmm object
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    --- finished re-building 'rmm_vignette.Rmd'
    
    --- re-building 'rmm_workflowWithExampleRangeModel.Rmd' using rmarkdown
    Type, vignette("rmm_directory") for an overview of functions
    
     vignette("rmm_vignette") for using the functions
    
     vignette("rmm_workflow") for incorporating rmm in a range modeling workflow, or
    
     vignette("rmm_Multispeices") for including multiple species in a single rmm object
    Loading required package: sp
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:raster':
    
     intersect, select, union
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: spam
    Loading required package: dotCall64
    Loading required package: grid
    Spam version 2.5-1 (2019-12-12) is loaded.
    Type 'help( Spam)' or 'demo( spam)' for a short introduction
    and overview of this package.
    Help for individual functions is also obtained by adding the
    suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
    
    Attaching package: 'spam'
    
    The following objects are masked from 'package:base':
    
     backsolve, forwardsolve
    
    Loading required package: fields
    Loading required package: maps
    See https://github.com/NCAR/Fields for
     an extensive vignette, other supplements and source code
    Loading required package: knitr
    Quitting from lines 39-58 (rmm_workflowWithExampleRangeModel.Rmd)
    Error: processing vignette 'rmm_workflowWithExampleRangeModel.Rmd' failed with diagnostics:
    lexical error: invalid char in json text.
     ommon.search.SearchResponse["results"]->java.util.ArrayList[
     (right here) ------^
    
    --- failed re-building 'rmm_workflowWithExampleRangeModel.Rmd'
    
    SUMMARY: processing the following file failed:
     'rmm_workflowWithExampleRangeModel.Rmd'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-windows-ix86+x86_64