Tools and functions for parsing, rendering and operating on
    semantic version strings. Semantic versioning is a simple set of rules
    and requirements that dictate how version numbers are assigned and
    incremented as outlined at <http://semver.org>.

Semantic Versions allow for standardized management versions. 
    This package implements semantic versioning handling in R. using R6 to 
    create a mutable object that can handle deciphering and checking versions.

Send email using 'Sendgrid' <https://sendgrid.com/> 
            mail API(v3) <https://docs.sendgrid.com/api-reference/how-to-use-the-sendgrid-v3-api/authentication>.

A system enables cross study Analysis by extracting and filtering study data for 
    control animals from  'CDISC' 'SEND' Study Repository. 
    These data types are supported: Body Weights, Laboratory test results and Microscopic findings. 
    These database types are supported: 'SQLite' and 'Oracle'.

Package contains a simple SMTP client with minimal dependencies which 
        provides a portable solution for sending email, including file attachments and inline html reports, 
        from within R. SMTP Authentication and SSL/STARTTLS is implemented using curl.

Stacked ensemble for regression tasks based on 'mlr3' framework with a pipeline for preprocessing numeric and factor features and hyper-parameter tuning using grid or random search.

Implements a suite of sensitivity analysis tools 
  that extends the traditional omitted variable bias framework and makes it easier 
  to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.

Provides an interface to the 'Sensibo Sky' API which allows to remotely control non-smart air conditioning units.
  See <https://sensibo.com> for more informations.

An implementation of sensitivity analysis for phylogenetic comparative
 methods. The package is an umbrella of statistical and graphical methods that 
 estimate and report different types of uncertainty in PCM:
 (i) Species Sampling uncertainty (sample size; influential species and clades).
 (ii) Phylogenetic uncertainty (different topologies and/or branch lengths).
 (iii) Data uncertainty (intraspecific variation and measurement error).