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SSDM 0.2.3 CRAN release
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Sylvain SCHMITT committed May 10, 2017
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: SSDM
Type: Package
Title: Stacked Species Distribution Modelling
Version: 0.2.2.9002
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Philippe Birnbaum
Version: 0.2.3
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Philippe Birnbaum
Maintainer: Sylvain Schmitt <[email protected]>
URL: https://github.com/sylvainschmitt/SSDM
BugReports: https://github.com/sylvainschmitt/SSDM/issues
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3 changes: 3 additions & 0 deletions NEWS.Rmd
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Expand Up @@ -11,6 +11,9 @@ output: github_document
- add finer tests
- document all S4 class and methods

# SSDM 0.2.3
- CRAN submission following article submission in MEE

# SSDM 0.2.2.9002
- Occurrences.csv and TRAVIS gdal
- Vignettes 2, misspelling, and TRAVIS
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5 changes: 5 additions & 0 deletions NEWS.md
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Expand Up @@ -12,6 +12,11 @@ TO DO
- add finer tests
- document all S4 class and methods

SSDM 0.2.3
==========

- CRAN submission following article submission in MEE

SSDM 0.2.2.9002
===============

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6 changes: 5 additions & 1 deletion cran-comment.md
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## Test environments
* local Ubuntu 14.04 LTS, R 3.2.2
* local Windows 7, R 3.2.2
* Travis CI Ubuntu 14.04.5 LTS, R 3.4.0
* AppVeyor Windows Server 2012, R 3.3.3
* win-builder (devel and release)

## R CMD check results
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## Resubmission
This is a resubmission. In this version I have:

* Still an issue with graphical user interface, shiny was not loaded by the UI. Bug is now fixed.
* Added two vignettes (for the main workflow and the use of the user interface)
* Corrected the english in description, documentations, vignettes and user interface with three different reviewers
* Made all the modifications requested by anonymous reviewers of a peer reviewed scientific journal in which the package is being published
2 changes: 1 addition & 1 deletion inst/shiny/gui/ui.R
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Expand Up @@ -59,7 +59,7 @@ ui <- dashboardPage(dashboardHeader(title = 'SSDM'),
uiOutput('Pcol'),
checkboxInput('GeoRes', 'Geographic resampling', value = TRUE),
uiOutput('reso'),
p('Geographical thinning can be performed on occurrences to limit geographical biases in the SDMs.'),
p('Randomize occurrences so that they will at least be separated by a user-specified distance to reduce the effect of biased occurrence collections on SDM outcomes'),
actionButton('load2', 'Load')),
box(title = 'Preview',
dataTableOutput('occ')
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