Re: [R] L1 (lasso) regularized log-linear model selection procedure

2019-10-19 Thread Bert Gunter
Searching on "lasso penalty with deviance" on rseek.org brought up many packages. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Oct 19, 2019 at

[R] L1 (lasso) regularized log-linear model selection procedure

2019-10-19 Thread Davor Josipovic
Daphne Koller (2009) describes L1 regularization (Chapter 20) as an efficient way for Markov network (i.e. undirected graphical model) structure learning and feature parameter estimation. Her focus, and mine, are log-linear models for high-dimensional contingency tables (i.e. categorical data). I