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.
libsdl3-ttf0
TrueType Font library for Simple DirectMedia Layer 3, libraries
Wrapper around FreeType 2.0 library, making possible to use TrueType fonts to
render text in SDL applications.
libsdl3-ttf-tests
TrueType Font library for Simple DirectMedia Layer 3 - tests
Wrapper around FreeType 2.0 library, making possible to use TrueType fonts to
render text in SDL applications.
python3-cppimport
cppimport - Import C++ directly from Python! (Python 3)
Sometimes Python just isn't fast enough. Or you have existing code in
a C++ library. cppimport combines the process of compiling and
importing an extension in Python so that you can type modulename =
cppimport.imp("modulename") and not have to worry about multiple
steps.
licenserecon
Reconcile licenses from debian/copyright against licensecheck
Uses licensecheck to determine file licences,
and if not 'UNKNOWN', checks them against Dep5 debian/copyright.
r-cran-pammtools
GNU R piece-wise exponential additive mixed modeling tools
This package provides piece-wise exponential additive mixed modeling
tools for survival analysis. The Piece-wise exponential (Additive Mixed)
Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>)
is a powerful model class for the analysis of survival (or time-to-
event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It
offers intuitive specification and robust estimation of complex survival
models with stratified baseline hazards, random effects, time-varying
effects, time-dependent covariates and cumulative effects (Bender and
others (2019)), as well as support for left-truncated, competing risks
and recurrent events data. pammtools provides tidy workflow for survival
analysis with PAMMs, including data simulation, transformation and other
functions for data preprocessing and model post-processing as well as
visualization.