Manipulate, Validate and Resolve IP Addresses (iptools) A toolkit for manipulating, validating and testing IP addresses and ranges, along with datasets relating to IP addresses. While it primarily has support for the IPv4 address space, more extensive IPv6 support is intended. GitHub

Use LaTeX Expressions in Plots (latex2exp) Parses and converts LaTeX math formulas to R’s plotmath expressions, used to enter mathematical formulas and symbols to be rendered as text, axis labels, etc. throughout R’s plotting system.

Methods for Graphical Models and Causal Inference (pcalg) Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC) and the Generalized Adjustment Criterion (GAC) are implemented.