Changelog

Added R2 and adjusted R2 computations. To get these, predictions from Gaussians are simply regressed against original response data.

Post-peer review at the Journal of Open Source Software.
print() and summary() on objects that are output from fit_gaussian_2D() now round parameter estimates to two decimal places.
R version requirement downgraded to R >= 3.3.0

Newest functions enhance the automation of comparing among various Gaussian fit models.
The autofit_gaussian_2D() function can be used to find the best-fitting model for a given data set.
The compare_gaussian_fits() function compares models via criteria such as rmse or rss.
A characterize_gaussian_fits() analyzes the orientation and partial correlations of Gaussian data. Features include computation of partial correlations between response variables and independent and diagonally-tuned predictions, along with Z-difference scoring.

Added a fit_gaussian_2D() function to apply any of several available methods to fit a 2D-Gaussian to supplied data
predict_gaussian_2D() has been enhanced to allow any method to be used in fit_gaussian_2D() and then fed into the predict function

Added a compute_gaussian_volume() function to compute the volume under a given 2D-Gaussian

gaussplotR 0.2.6 Unreleased