<--- Back to Details
First PageDocument Content
Deviance / Log-linear model / Gamma distribution / Linear regression / Normal distribution / Binomial regression / Digamma / Least squares / Exponential family / Statistics / Regression analysis / Generalized linear model
Date: 2014-07-02 16:37:23
Deviance
Log-linear model
Gamma distribution
Linear regression
Normal distribution
Binomial regression
Digamma
Least squares
Exponential family
Statistics
Regression analysis
Generalized linear model

Package ‘statmod’ July 2, 2014 Version[removed]Date[removed]Title Statistical Modeling Author Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]

Add to Reading List

Source URL: cran.r-project.org

Download Document from Source Website

File Size: 223,69 KB

Share Document on Facebook

Similar Documents

Exponential Family .................. Summary .

Exponential Family .................. Summary .

DocID: 1uWaB - View Document

2009 IEEE Information Theory Workshop  Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

2009 IEEE Information Theory Workshop Mutual Information and Posterior Estimates in Channels of Exponential Family Type Maxim Raginsky

DocID: 1uCUA - View Document

Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

Mutual Information Saddle Points in Channels of Exponential Family Type Todd P. Coleman Maxim Raginsky

DocID: 1uy3L - View Document

Exponential Family Embeddings  Maja Rudolph Columbia University  Francisco J. R. Ruiz

Exponential Family Embeddings Maja Rudolph Columbia University Francisco J. R. Ruiz

DocID: 1tyws - View Document

Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen

Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen

DocID: 1tomA - View Document