6533b82efe1ef96bd129428f

RESEARCH PRODUCT

Fitting linear models and generalized linear models with large data sets in R

Marco Enea

subject

Regression updating methodology and algorithms of statistical computing linear regression generalized linear regression statistical computing R programmingSettore SECS-S/01 - Statistica

description

We present an estimating algorithm to fit linear and generalized linear models not involving the QR decomposition. Some new R functions are presented and discussed. For large data sets, comparisons with respect to the well-known lm() and glm(), as well as to biglm() and bigglm() from the package biglm, show that the proposed functions speed up computation while preserving numerical stability and accuracy

http://hdl.handle.net/10447/51828