Graphical Models with R (Use R!)

✍ Søren Højsgaard 📂 Library 📅 2012 🏛 Springer 🌐 English

This book offers an introduction to graphical modeling using R and the main features of some of these packages. It provides examples of how more advanced aspects of graphical modeling can be represented and handled within R.

Graphical Models with R

📁 Graphical Models with R

✍ Søren Højsgaard, David Edwards, Steffen Lauritzen (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag New York 🌐 English

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many

Graphical Models with R

📁 Graphical Models with R

✍ Søren Højsgaard, David Edwards, Steffen Lauritzen (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag New York 🌐 English

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many

Graphical models with R

📁 Graphical models with R

✍ Edwards, David;Højsgaard, Søren;Lauritzen, Steffen L 📂 Library 📅 2012 🏛 Springer 🌐 English

Graphical Models with R

📁 Graphical Models with R

✍ Søren Højsgaard, David Edwards, Steffen Lauritzen (auth.) 📂 Library 📅 2012 🏛 Springer 🌐 English

Mixture and Hidden Markov Models with R

📁 Mixture and Hidden Markov Models with R (Use R!)

✍ Ingmar Visser, Maarten Speekenbrink 📂 Library 📅 2022 🏛 Springer 🌐 English

This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models which are useful when an observed system occupies a number of distinct “regimes” or unobserved (hidden) states. These models are widely used in a variet

Graphical Models with R (Use R!)

✦ Synopsis