Releases: StuntsPT/pyRona
Releases · StuntsPT/pyRona
pyRona-0.3.6
Changes made in version 0.3.6
- Fixed a broken help link
pyRona-0.3.5
Changes made in version 0.3.5
- Adds a new feature: RONA maps
- To use it, just add the option
-map
with a path to where you want to save the map, such as~/my_RONA_map.png
- In order to use this feature, the dependency cartopy is required.
- The manual now contains instructions on installing
cartopy
depending on your OS- Instructions for OSX are still missing. Help, anyone?
- For now, the options assumes that the first variable in the environmental file is "Longitude" and the second one is "Latitude"
- To use it, just add the option
pyRona-0.3.4
Changes made in version 0.3.4
- Immutables option is no longer on by default
- Improved help text of the immutables option
- Improved handling of LFMM population data (as opposed to individual data)
- Tests altered to conform to new options
pyRona-0.3.3
Changes made in version 0.3.3
- Better handling of individual plots
- Better PEP8 conformance
pyRona-0.3.1
Changes made in version 0.3.1
- Corrects a bug in the installation of the R script
LFMM_workflow.R
- Better PEP8 conformance
pyRona-0.3.0
Changes made in version 0.3.0
pyRona
can now use LFMM results as an input to calculate RONA- The test suite was also increased to match the changes
pyRona-0.2.0
Changes made in version 0.2.0
- Major code re-organization
- Can now be installed via
setup.py
- Pypi submission
- Adds unit tests
- Travis-CI integration
- Proper documentation is started
pyRona-0.1.3
This release adds:
- Autosave plots instead of interactive (which allows for a lot better automation)
- Bugfix with arg.immutables argument.
pyRona-0.1.2
This release adds:
- Better PEP8 conformance
- Weighted R² means in the summary (when requested)
- Better label handling in the plots
- Option to choose which covariates are immutable and skip them
pyRona-0.1.1
Changelog:
- Added a new line to the summary (Number of SNPs associated with each covariate)
- Can now parse multiple outputs from BayPass and not only for the
MCMC_core
model.