https://gujq5.r-universe.devRecent package updates in gujq5R-universehttps://github.com/gujq5.pnghttps://gujq5.r-universe.devTue, 26 May 2026 15:13:24 GMTjiaqigu@usf.edu (Jiaqi Gu)A formula-driven framework for maximizing target functions via the minorization-maximization (MM) algorithm. The package represents the target as a symbolic expression tree, infers its curvature via disciplined-convex-programming rules, and constructs a separable surrogate at each iterate using only Jensen's inequality and the supporting hyperplane. The driver maximizes the surrogate via block-coordinate Newton with line search, falling back to a multivariate step on any non-separable residue. A formula interface accepts standard R expressions (including `sum()` reductions and `X %*% theta` design-matrix products) so statistical models such as Poisson regression can be written in one line.https://github.com/r-universe/gujq5/actions/runs/26466982662Tue, 26 May 2026 15:13:24 GMTMMAD3.0.0successhttps://gujq5.r-universe.devhttps://github.com/gujq5/mmad