Runs a series of configurable tests against a user's compute 
  environment. This can be used for checking that things like a specific 
  directory or an environment variable is available before you start an analysis.
  Alternatively, you can use the package's situation report when filing error
  reports with your compute infrastructure.

Graphical and statistical analyses of environmental data, with 
  focus on analyzing chemical concentrations and physical parameters, usually in 
  the context of mandated environmental monitoring.  Major environmental 
  statistical methods found in the literature and regulatory guidance documents, 
  with extensive help that explains what these methods do, how to use them, 
  and where to find them in the literature.  Numerous built-in data sets from 
  regulatory guidance documents and environmental statistics literature.  Includes 
  scripts reproducing analyses presented in the book "EnvStats:  An R Package for 
  Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4, 
  <doi:10.1007/978-1-4614-8456-1>).

A collection of functions that allows for easy and consistent use
  of environment variables. This includes setting, checking, retrieving,
  transforming, and validating values stored in environment variables.

Evidence of Absence software (EoA) is a user-friendly application for estimating bird and bat fatalities at wind farms and designing search protocols. The software is particularly useful in addressing whether the number of fatalities has exceeded a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The models are applicable even when zero carcasses have been found in searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015) <doi:10.3133/ofr20151227>.

Second and backward-incompatible version of R package 'eodhd' <https://eodhd.com/>, extended with a cache and quota system, 
 also offering functions for cleaning and aggregating the financial data.