lmls - Gaussian Location-Scale Regression
The Gaussian location-scale regression model is a multi-predictor model with explanatory variables for the mean (= location) and the standard deviation (= scale) of a response variable. This package implements maximum likelihood and Markov chain Monte Carlo (MCMC) inference (using algorithms from Girolami and Calderhead (2011) <doi:10.1111/j.1467-9868.2010.00765.x> and Nesterov (2009) <doi:10.1007/s10107-007-0149-x>), a parametric bootstrap algorithm, and diagnostic plots for the model class.
Last updated 10 days ago
4.76 score 3 stars 19 scripts 182 downloadsggnuplot - Make 'ggplot2' Look Like 'gnuplot'
Provides a theme, a discrete color palette, and continuous scales to make 'ggplot2' look like 'gnuplot'. This may be helpful if you use both 'ggplot2' and 'gnuplot' in one project.
Last updated 4 years ago
data-visualizationggplot2ggplot2-themevisualization
3.48 score 6 stars 4 scripts 165 downloads