Sequential quadratic programming for maximum-likelihood estimation
This package provides an optimization method based on sequential quadratic programming for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The algorithm is expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver, and they are expected to arrive at solutions more quickly when the number of samples is large and the number of mixture components is not too large.
| System | Target | Derivation | Build status |
|---|---|---|---|
| x86_64-linux | /gnu/store/dckn0i27lnirkqyxdj2kf0ja85ykbl4k-r-mixsqp-0.3-43.drv | ||
| mips64el-linux | /gnu/store/zwd3wgyi8rnz676qjr8k7ja0dpd7ljr7-r-mixsqp-0.3-43.drv | ||
| i686-linux | /gnu/store/9dhm7d3sraxpigyzrgz8fsqajgya5lqy-r-mixsqp-0.3-43.drv | ||
| i586-gnu | /gnu/store/ykhksca6ipb4qbg12z6bfnqy1dy2859b-r-mixsqp-0.3-43.drv | ||
| armhf-linux | /gnu/store/xa3ll0mc05phj8mqrrgkvifw2ins2crs-r-mixsqp-0.3-43.drv | ||
| aarch64-linux | /gnu/store/npjwygmrslfzfb0bmj63qp5k48h7lhrj-r-mixsqp-0.3-43.drv |
| Linter | Message | Location |
|---|---|---|
| No lint warnings ✓ | ||