1 2 | make.measurement.predictions(dm, observations, observed.times, predict.times,
covariates = NULL, ci.coverage = 0.95, iq.coverage = 0.5, sum = F)
|
observations |
an array indexed [i,time,test] - where i denotes an individual |
observed.times |
a numeric vector such that observed.times[t] is the time at which observations[,t,] were taken |
covariates |
A row for each individual with the covariates used to fit the model |
A 4d array indexed[individual, time, test, statistic], where statistic is one of: mean, ci.lower, ci.upper, iq.lower, iq.upper
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