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.