TY - CONF
T1 - Fitting linear models and generalized linear models with large data sets in R
AU - Enea, Marco
PY - 2009
Y1 - 2009
N2 - We present an estimating algorithm to fit linear and generalized linear modelsnot 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 asto biglm() and bigglm() from the package biglm, show that the proposed functions speedup computation while preserving numerical stability and accuracy
AB - We present an estimating algorithm to fit linear and generalized linear modelsnot 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 asto biglm() and bigglm() from the package biglm, show that the proposed functions speedup computation while preserving numerical stability and accuracy
KW - R programming
KW - Regression updating
KW - generalized linear regression
KW - linear regression
KW - methodology and algorithms of statistical computing
KW - statistical computing
KW - R programming
KW - Regression updating
KW - generalized linear regression
KW - linear regression
KW - methodology and algorithms of statistical computing
KW - statistical computing
UR - http://hdl.handle.net/10447/51828
M3 - Other
SP - 411
EP - 414
ER -