Yields about 2-3x speed increase when using 4-8 CPU cores.
Requires library(furrr)
Usage
RIestThetasCATr(
data,
itemParams,
method = "WL",
cpu = 4,
theta_range = c(-10, 10)
)
Arguments
- data
Dataframe with response data only (no demographics etc), items as columns
- itemParams
Optional item (threshold) location matrix
- method
Estimation method (defaults to "WL")
- cpu
Number of CPUs/cores to utilize (default is 4)
- theta_range
Range of theta (person location) values
Details
Outputs a vector of person locations, one for each row in the dataframe.
Uses thetaEst function from catR package to estimate person locations
(thetas) for a dataframe with item data as columns and persons as rows.
Defaults to use WL estimation (lower bias than ML, see Warm, 1989).