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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | lmls_0.1.1.tar.gz |
367.9 KiB |
0.1.1 |
rolling linux/noble R-4.5 | lmls_0.1.1.tar.gz |
367.7 KiB |
0.1.1 |
rolling source/ R- | lmls_0.1.1.tar.gz |
335.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | lmls_0.1.1.tar.gz |
367.9 KiB |
0.1.1 |
latest linux/noble R-4.5 | lmls_0.1.1.tar.gz |
367.7 KiB |
0.1.1 |
latest source/ R- | lmls_0.1.1.tar.gz |
335.2 KiB |
0.1.1 |
2026-04-26 source/ R- | lmls_0.1.1.tar.gz |
335.2 KiB |
0.1.1 |
2026-04-23 source/ R- | lmls_0.1.1.tar.gz |
335.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | lmls_0.1.1.zip |
371.4 KiB |
0.1.1 |
2025-04-20 source/ R- | lmls_0.1.1.tar.gz |
335.2 KiB |