6533b82efe1ef96bd129428f
RESEARCH PRODUCT
Fitting linear models and generalized linear models with large data sets in R
Marco Eneasubject
Regression updating methodology and algorithms of statistical computing linear regression generalized linear regression statistical computing R programmingSettore SECS-S/01 - Statisticadescription
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
year | journal | country | edition | language |
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2009-01-01 |