{"product_id":"extending-the-linear-model-with-r","title":"Extending The Linear Model With R","description":"\u003cp\u003e\u003cem\u003eStart Analyzing a Wide Range of Problems \u003c\/em\u003e\u003c\/p\u003e\u003cp\u003eSince the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. \u003cstrong\u003eExtending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition\u003c\/strong\u003e takes advantage of the greater functionality now available in R and substantially revises and adds several topics.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eNew to the Second Edition\u003c\/em\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExpanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models \u003c\/li\u003e\n\u003cli\u003eNew sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) \u003c\/li\u003e\n\u003cli\u003eRevised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods\u003c\/li\u003e\n\u003cli\u003eNew chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA \u003c\/li\u003e\n\u003cli\u003eRevised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available\u003c\/li\u003e\n\u003cli\u003eUpdated coverage of splines and confidence bands in the chapter on nonparametric regression\u003c\/li\u003e\n\u003cli\u003eNew material on random forests for regression and classification \u003c\/li\u003e\n\u003cli\u003eRevamped R code throughout, particularly the many plots using the ggplot2 package\u003c\/li\u003e\n\u003cli\u003eRevised and expanded exercises with solutions now included\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cem\u003eDemonstrates the Interplay of Theory and Practice\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003eThis textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.\u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57317710889342,"sku":"NW9781498720960","price":116.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781498720960.jpg?v=1778722634","url":"https:\/\/mediaplace.com\/en-usa\/products\/extending-the-linear-model-with-r","provider":"MediaPlace","version":"1.0","type":"link"}