Title: Random Effects and Sample Selection Models for Panel Counting
Description: A High Performance Package Implementing Random Effects and Sample Selection Models for Panel Counting Data.

Title: Random Effects and/or Sample Selection Models for Panel Count
Description: A high performance package implementing random effects and/or sample selection models for panel count data.

Description: A high performance package implementing random effects and/or
sample selection models for panel count data. The details of the models are discussed in Peng and Van den Bulte (2022) <doi:10.2139/ssrn.2702053>.

Description: Linear models for panel data: the fixed effect model and the

Description: Sankey diagrams are a powerfull and visually attractive way
to visualize the flow of conservative substances through a system.
They typically consists of a network of nodes, and fluxes between them,
where the total balance in each internal node is 0, i.e. input equals output.
Sankey diagrams are typically used to display energy systems, material flow accounts etc.
Unlike so-called alluvial plots, Sankey diagrams also allow for cyclic flows:
flows originating from a single node can, either direct or indirect, contribute to the input of that same node.
This package, named after the Greek aphorism Panta Rhei (everything flows),
provides functions to create publication-quality diagrams, using data in tables (or spread sheets)
Author: Patrick Bogaart [aut, cre] (<https://orcid.org/0000-0002-8612-1289>)

Title: Parallel Bayesian Optimization of Hyperparameters
Authors@R: person("Samuel", "Wilson", email = "samwilson303@gmail.com", role = c("aut", "cre"))
Description: Fast, flexible framework for implementing Bayesian optimization of model
hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>.
The package allows the user to run scoring function in parallel, save intermediary
results, and tweak other aspects of the process to fully utilize the computing resources
Depends: R (>= 3.5.0), data.table (>= 1.11.8), GauPro, stats, foreach,