Projected summative score (the prior) from interims — predict.ty

Conditional distribution of the summative true score given a student's observed interims and their SEs. Missing interims simply drop out, so late enrollers get wider priors rather than wrong ones.

Usage

# S3 method for class 'ty_link'
predict(object, newdata, suffix = "", ...)

Arguments

object: A `ty_link`.
newdata: Data frame with the interim columns and their SEs.
suffix: Optional suffix of alternative interim columns (e.g. `"_r2"` for a replicate set); SEs are still read from the `_se` columns.
...: Unused.

Value

Data frame: `mean`, `sd`, `n_interims`.

Examples

sim <- ty_simulate(n_calibration = 300, n_operational = 300, seed = 1)
link <- ty_link(sim)
op <- sim[sim$cohort == "operational", ]
prior <- predict(link, op)
# late enrollers get wider priors
aggregate(prior$sd, list(late = op$late), mean)
#>    late         x
#> 1 FALSE 0.3490794
#> 2  TRUE 0.4274624