In a generalized linear model (GLM), each outcome Y of the dependent variables is assumed to be generated from a particular distribution in an exponential family, a large class of probability …

Jul 23, 2025 · A Generalized Linear Model (GLM) builds on top of linear regression but offers more flexibility. Think of it like this: instead of forcing your data to follow a straight line and …

6 days ago · Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based a...

The glm function is our workhorse for all GLM models. The family argument of glm tells R the respose variable is brenoulli, thus, performing a logistic regression.

Jul 15, 2025 · Generalized Linear Models (GLMs) are a class of regression models that can be used to model a wide range of relationships between a response variable and one or more …

4 days ago · GLM-4.7 is step forward over GLM-4.6 with improved functions for developers. It features robust support for coding workflows, complex reasoning, and agentic-style execution, …

Mar 13, 2025 · GLMs are widely used in various fields such as biostatistics, economics, social sciences, and machine learning. They provide a flexible method for modeling diverse data …

3 days ago · GLM-4.7 also produces natural and engaging output for conversational, writing, and role-playing scenarios, evolving GLM towards a coherent open-source system. Designed for …

In The Linear Model chapter we discussed different common probability distributions. You are encouraged to reference that section, because ultimately these different probability …

Dec 22, 2025 · GLM-4.7 also supports thinking before acting, with significant improvements on complex tasks in mainstream agent frameworks such as Claude Code, Kilo Code, Cline, and …