person("Stefan Milton", "Bache", , "stefan@stefanbache.dk", role = c("aut", "cph"),
Description: Provides a mechanism for chaining commands with a new
forward-pipe operator, %>%. This operator will forward a value, or the
result of an expression, into the next function call/expression.

Authors@R: c(person("Rob", "Young", role = c("aut", "cre"),
Description: A generalised workflow for generation of subject weights to be
used in Matching-Adjusted Indirect Comparison (MAIC) per Signorovitch et
comparison between outcomes of two trials is facilitated by weighting the
subject-level outcomes of one trial with weights derived such that the
weighted aggregate measures of the prognostic or effect modifying variables
are equal to those of the sample in the comparator trial. The functions and
classes included in this package wrap and abstract the process demonstrated
in the UK National Institute for Health and Care Excellence Decision
Support Unit (NICE DSU)'s example (Phillippo et al, (2016) [see URL]),
providing a repeatable and easily specifiable workflow for producing
multiple comparison variable sets against a variety of target studies, with
preprocessing for a number of aggregate target forms (e.g. mean, median,

Title: Assessing the Numerical Feasibility for Conducting a
c(person("Lillian", "Yau", role = c("aut", "cre"), email = "maicChecks@gmail.com"),
person("Ekkehard", "Glimm", role = c("aut")))
Description: A collection of easy-to-implement tools for checking whether a MAIC can be conducted. An alternative way of calculating weights is also included. These methods are introduced in Glimm & Yau (2021) <arXiv:2108.01896>.
Imports: data.table, tidyr, ggplot2, lpSolve, quadprog

Title: Sending Email Notifications from R
Author: Statistical Consulting - intelligent data analysis, stochastic modelling and statistical inference, Dr. Lin Himmelmann
Description: Easy to use package for sending email notifications with status information from R

Description: Interface to Apache Commons Email to send emails