Last updated on 2020-08-07 01:50:16 CEST.
| Package | WARN | NOTE | OK |
|---|---|---|---|
| meteR | 12 | ||
| rangeModelMetadata | 1 | 5 | 6 |
Current CRAN status: OK: 12
Current CRAN status: WARN: 1, NOTE: 5, OK: 6
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