The <http://standartox.uni-landau.de> database offers cleaned,
    harmonized and aggregated ecotoxicological test data, which can
    be used for assessing effects and risks of chemical concentrations
    found in the environment.

Easily create alerts, notifications, modals, info tips and loading 
    screens in 'Shiny'. Includes several options to customize alerts and 
    notifications by including text, icons, images and buttons. When wrapped 
    around a 'Shiny' output, loading screen is automatically displayed while 
    the output is being recalculated.

The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.

Infrastructure and functions that can be used for 
    integrating 'Stan' (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>) code into 
    stand alone R packages which in turn use the  'CmdStan' engine  which is often accessed through 
    'CmdStanR'. Details given in Stan Development Team (2025) <https://mc-stan.org/cmdstanr/>. 
    Using 'CmdStanR' and pre-written 'Stan' code can make package installation easy. Using 'staninside'
    offers a way to cache user-compiled 'Stan' models in user-specified directories reducing the need
    to recompile the same model multiple times.