bayes.splines.model.options: bayes.splines.model.options

In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout

Description

Simulation and model options for the natural b-spline model

Usage

bayes.splines.model.options(iterations = 10000, burnin = 500,
  thin = 1, print = 1, knots.prob.birth = 0.5, knots.min = 1,
  knots.max = NA, knots.stepSize = 3, knots.positions.start = NULL,
  knots.positions.candidate = NULL, prob.min = 1e-05,
  prob.max = 0.99999, accept.rate.adjust = 1,
  dropout.estimationTimes = NULL, sigma.beta = NULL,
  sigma.residual = NULL, sigma.error = NULL,
  sigma.error.shape.tau = NULL, sigma.error.rate.tau = NULL,
  lambda.numKnots = NULL, sigma.randomIntercept = NULL,
  sigma.randomSlope = NULL, sigma.randomInterceptSlope = NULL,
  sigma.randomEffects.df = NULL, sigma.randomEffects.scale = NULL,
  eta.null = NULL)

Arguments

iterations	number of iterations for the MCMC simulation
burnin	burn in period for the simulation, i.e. the number of iterations to throw away at the beginning of the simulation
thin	thinning interval, i.e. if thin=n, only keep every nth iteration
knots.prob.birth	probability of adding a new knot to the model on a given iteration
knots.min	minimum number of knots in the model. Must be greater than or equal to 1.
knots.max	maximum number of knots in the model.

kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 a.m.