NEWS.md

In vbaliga/gaussplotR: Fit, Predict and Plot 2D Gaussians

gaussplotR 0.2.6

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

gaussplotR 0.2.5

• Citation information updated
• Ready for updating CRAN

gaussplotR 0.2.4

• 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

gaussplotR 0.2.2

• 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.

gaussplotR 0.2.0

• 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

gaussplotR 0.1.6

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

gaussplotR 0.1.4

• Miscellaneous formatting fixes for CRAN checks. No changes to functions.

gaussplotR 0.1.3

• Added a NEWS.md file to track changes to the package.
• Package now seems to be ready for submission to CRAN

vbaliga/gaussplotR documentation built on Aug. 6, 2021, 10:03 a.m.