| Name : R-slm
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:32:22
|
| Group : Development/Libraries/Other
| Source RPM : R-slm-1.2.0-lp153.2.13.src.rpm
|
| Size : 0.17 MB
| |
| Packager : (none)
| |
| Summary : Stationary Linear Models
|
Description :
Provides statistical procedures for linear regression in the general
context where the errors are assumed to be correlated. Different ways
to estimate the asymptotic covariance matrix of the least squares
estimators are available. Starting from this estimation of the
covariance matrix, the confidence intervals and the usual tests on the
parameters are modified. The functions of this package are very similar
to those of \'lm\': it contains methods such as summary(), plot(),
confint() and predict(). The \'slm\' package is described in the paper by
E. Caron, J. Dedecker and B. Michel (2019), \"Linear regression with
stationary errors: the R package slm\", arXiv preprint
< arXiv:1906.06583>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
