Updates docs and bumps version

CHANGELOG.md

@@ -1,5 +1,13 @@
 # *pyRona* changelog
 
+## Changes made in version 0.3.2
+
+* Corrects a bug in when using outliers
+* Better PEP8 conformance
+* Implements automated test coverage measurements
+
+---
+
 ## Changes made in version 0.3.1
 
 * Corrects a bug in the installation of the R script `LFMM_workflow.R`

docs/usage.md

@@ -32,7 +32,7 @@ This section describes how to use *pyRona*. All options as of version 0.2.0 are
  - *pyRona* requires some parameters to be set in order to perform the analysis. These are:
  - Common options to both *Baypass* and *LFMM*:
  - `-covars`: [**optional**] Number of covars to calculate the RONA for (default: 3)
- - `-outliers`: [**optional**] Number of outliers to remove - "0" skips outlier removal, "1" removes a maximum of 1 outlier (if there is one), "2" removes any number of markers considered outliers (default: 2)
+ - `-remove-outliers`: [**optional**] Pass this option if you want to *pyRona* to calculate the regression trend-line *after* removing any coordinates considered outliers
  - `-immutables`: Covariates to skip from the environmental variables file. Useful to skip variables that are the same in te present covars and future covars file, such as latitude (default: 1 2 3)
  - `-ronatype`: Defines the RONA is calculated. `absdiff` performs calculations as described in Rellstab et al. 2016 - using the absolute value of the differences, `diff` uses the differences without modulus, and `dist` accounts simply for the distance between the future condition and the trendline (default: `absdiff`)
  - *Baypass* specific options:

setup.py

@@ -33,7 +33,7 @@ class NotSupportedException(BaseException):
 
 
 # Set some variables (PKGBUILD inspired)
-VERSION = "0.3.1"
+VERSION = "0.3.2"
 URL = "https://github.com/StuntsPT/pyRona"