Title: Elicitation of Independent Conditional Means Priors for
Description: Functions are provided to facilitate prior elicitation for Bayesian generalised linear models using independent conditional means priors. The package supports the elicitation of multivariate normal priors for generalised linear models. The approach can be applied to indirect elicitation for a generalised linear model that is linear in the parameters. The package is designed such that the facilitator executes functions within the R console during the elicitation session to provide graphical and numerical feedback at each design point. Various methodologies for eliciting fractiles (equivalently, percentiles or quantiles) are supported, including versions of the approach of Hosack et al. (2017) <doi:10.1016/j.ress.2017.06.011>. For example, experts may be asked to provide central credible intervals that correspond to a certain probability. Or experts may be allowed to vary the probability allocated to the central credible interval for each design point. Additionally, a median may or may not be elicited.

Title: Framework for Specifying and Simulating Individual Based Models
given = "Imperial College of Science, Technology and Medicine",
Description: A framework which provides users a set of useful primitive elements for
specifying individual based simulation models, with special attention models for
infectious disease epidemiology. Users build models by specifying variables for
each characteristic of individuals in the simulated population by using data
structures exposed by the package. The package provides efficient methods for
finding subsets of individuals based on these variables, or cohorts. Cohorts can
then be targeted for variable updates or scheduled for events. Variable updates
queued during a time step are executed at the end of a discrete time step, and
the code places no restrictions on how individuals are allowed to interact.
These data structures are designed to provide an intuitive way for users to turn
their conceptual model of a system into executable code, which is fast and
Suggests: ggplot2, knitr, mockery, rmarkdown, reshape2, pkgdown,