[general]
name=Multicollinearity Test
qgisMinimumVersion=3.0
description=This plugin can calculate the Pearson correlation coefficient (r) to identify variables that exhibit multicollinearity 
version=0.0.6
author=Muhammad Parif
email=payip28muhammad@apps.ipb.ac.id

about=This plugin serves as a tool for calculating the level of multicollinearity among variables used in raster format (TIF or ASC). Users can select the category of absolute r values to be used. The results are presented in CSV format, containing the correlation values between variables. This plugin automatically aligns raw rasters and filters out NoData/NaN values directly, which may result in slight variations in correlation compared to previously manually processed datasets due to resampling effects and floating-point precision.


tracker=https://github.com/muhammad-parif/multicollinearity_test/issues
repository=https://github.com/muhammad-parif/multicollinearity_test.git
# End of mandatory metadata

# Recommended items:

hasProcessingProvider=no
# Uncomment the following line and add your changelog:
# changelog=

# Tags are comma separated with spaces allowed
tags=python, forest, multicollinearity, raster

homepage=https://github.com/muhammad-parif/multicollinearity_test
category=Plugins
icon=icon.png
# experimental flag
experimental=False

# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False

# Since QGIS 3.8, a comma separated list of plugins to be installed
# (or upgraded) can be specified.
# Check the documentation for more information.
# plugin_dependencies=

Category of the plugin: Raster, Vector, Database or Web
# category=Raster

# If the plugin can run on QGIS Server.
server=False

