| Name : R-DHARMa
| |
| Version : 0.4.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 16.2
| Date : 2024-08-05 21:20:29
|
| Group : Development/Libraries/Other
| Source RPM : R-DHARMa-0.4.6-16.2.src.rpm
|
| Size : 5.34 MB
| |
| Packager : (none)
| |
| Summary : Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
|
Description :
The \'DHARMa\' package uses a simulation-based approach to create readily
interpretable scaled (quantile) residuals for fitted (generalized)
linear mixed models. Currently supported are linear and generalized
linear (mixed) models from \'lme4\' (classes \'lmerMod\', \'glmerMod\'),
\'glmmTMB\' \'GLMMadaptive\' and \'spaMM\', generalized additive models
(\'gam\' from \'mgcv\'), \'glm\' (including \'negbin\' from \'MASS\', but
excluding quasi-distributions) and \'lm\' model classes. Moreover,
externally created simulations, e.g. posterior predictive simulations
from Bayesian software such as \'JAGS\', \'STAN\', or \'BUGS\' can be
processed as well. The resulting residuals are standardized to values
between 0 and 1 and can be interpreted as intuitively as residuals from
a linear regression. The package also provides a number of plot and
test functions for typical model misspecification problems, such as
over/underdispersion, zero-inflation, and residual spatial and temporal
autocorrelation.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
