create.measurement.predictor: Create a Measurement Predictor

In tfojo13/RMP: Fits Bayesian models on repeated measures of multiple symptoms

Usage

create.measurement.predictor(dataset, num.latent.classes = 1,
  time.transformation, test.minima, test.maxima,
  time.transformation.parameters = NULL, fixed.covariate.names = NULL,
  initial.class.assignments = NULL, iterations.after.burn, burn, keep,
  chains = 2, pi.alpha = 1, seed = 1223)

Arguments

dataset	A data frame with the columns 'measurement', 'test', 'id', 'time', as well as column for each entry in 'fixed.covariate.names'
time.transformation	One of 'linear', 'linear.spline'

tfojo13/RMP documentation built on May 29, 2019, 12:42 p.m.