Desinventar

Use when working with Convex.jl — a Julia package for Disciplined Convex Programming (DCP) that formulates and solves convex optimization problems with natural mathematical syntax. Covers problem cons

1 shared topic • 1 shared operation

DoE.base is a foundational R package by Ulrike Groemping for full factorial experimental designs and designs based on orthogonal arrays. It provides utility functions for the shared `design` class use

1 shared topic • 1 shared operation

mvabund is an R package providing a model-based approach to analyzing multivariate abundance data in ecology. It offers tools for data visualization, fitting predictive generalized linear models (GLMs

1 shared topic • 1 shared operation

Use this skill for base R numerical optimization with `stats::optim()` and `optimHess()`: unconstrained optimization (Nelder-Mead, BFGS, CG), box-constrained optimization (L-BFGS-B), simulated anneali

1 shared topic • 1 shared operation

Use this skill for statistical simulation of single-cell and spatial omics data with scDesign3. Route here when users ask about generating synthetic scRNA-seq data, benchmarking analysis tools with re

1 shared topic • 1 shared operation