| Name : R-VCA
| |
| Version : 1.5.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 3.3
| Date : 2024-08-29 00:24:04
|
| Group : Development/Libraries/Other
| Source RPM : R-VCA-1.5.1-3.3.src.rpm
|
| Size : 1.21 MB
| |
| Packager : (none)
| |
| Summary : Variance Component Analysis
|
Description :
ANOVA and REML estimation of linear mixed models is implemented, once
following Searle et al. (1991, ANOVA for unbalanced data), once making
use of the \'lme4\' package. The primary objective of this package is to
perform a variance component analysis (VCA) according to CLSI EP05-A3
guideline \"Evaluation of Precision of Quantitative Measurement
Procedures\" (2014). There are plotting methods for visualization of an
experimental design, plotting random effects and residuals. For ANOVA
type estimation two methods for computing ANOVA mean squares are
implemented (SWEEP and quadratic forms). The covariance matrix of
variance components can be derived, which is used in estimating
confidence intervals. Linear hypotheses of fixed effects and LS means
can be computed. LS means can be computed at specific values of
covariables and with custom weighting schemes for factor variables. See
?VCA for a more comprehensive description of the features.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
