libzypp-bin
openSUSE/SLES package management system library (library tools)
libzypp is the package management library that powers applications like
YaST, zypper and the openSUSE/SLE implementation of PackageKit.
r-cran-gap.datasets
Datasets for 'gap'
Datasets associated with the 'gap' package. Currently,
it includes an example data for regional association
plot (CDKN), an example data for a genomewide association
meta-analysis (OPG), data in studies of Parkinson's diease (PD),
ALHD2 markers and alcoholism (aldh2), APOE/APOC1 markers
and Schizophrenia (apoeapoc), cystic fibrosis (cf), a
Olink/INF panel (inf1), Manhattan plots with (hr1420, mhtdata)
and without (w4) gene annotations.
r-cran-qgam
Smooth Additive Quantile Regression Models
Smooth additive quantile regression models, fitted using the methods of
Fasiolo et al. (2020) <doi:10.1080/01621459.2020.1725521>. See Fasiolo
at al. (2021) <doi:10.18637/jss.v100.i09> for an introduction to the
package. Differently from 'quantreg', the smoothing parameters are
estimated automatically by marginal loss minimization, while the
regression coefficients are estimated using either PIRLS or Newton
algorithm. The learning rate is determined so that the Bayesian credible
intervals of the estimated effects have approximately the correct
coverage. The main function is qgam() which is similar to gam() in
'mgcv', but fits non-parametric quantile regression models.
libstd-rust-1.85
Rust standard libraries
Rust is a curly-brace, block-structured expression language. It
visually resembles the C language family, but differs significantly
in syntactic and semantic details. Its design is oriented toward
concerns of "programming in the large", that is, of creating and
maintaining boundaries - both abstract and operational - that
preserve large-system integrity, availability and concurrency.
lazygal
static web gallery generator
Lazygal is another static web gallery generator written in Python. It is
command line based, uses reusable engine and is lazy - it regenerates
only parts that have to be regenerated.
r-cran-dharma
Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
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'; phylogenetic linear models from 'phylolm' (classes
'phylolm' and 'phyloglm'); 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, phylogenetic and temporal
autocorrelation.