R: Elicitation of Independent Conditional Means Priors for Generalised Linear Models

# Elicitation of Independent Conditional Means Priors for Generalised Linear Models

## Documentation for package ‘indirect’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

checkX | Helper function that checks for sensible covariate matrix.
CNdiag | Function to check condition number diagnostic.
designLink | Create list with information for the elicitation session
dGompertzNorm | density for Gompertz transformed univariate Gaussian
dLogitNorm | density for logit transformed univariate Gaussian
elicitPt | Function to create or update elicitation at a given design point.
indirect | indirect: A package for assisting indirect elicitation of priors for generalised linear models.
makeSweave | Function to create summary document from a saved elicitation record.
muSigma | Function to estimate mean and covariance for unknown parameters beta.
mV | Helper function that translates elicited quantiles of target into independent conditional means normal prior for a defined inverse link function.
pdist | Helper function that gives the probability distribution function for design point.
plotDesignPoint | Plot elicited data, fitted marginals or model output
saveRecord | Function to save elicitation record.