amle_fun: Rasch Anchored Maximum Likelihood Estimation (AMLE) Function...
In faffr/calsim: Tools for CAL MST response simulation

Description Usage Arguments Examples

View source: R/amle_fun.R

Estimates the abilities based on known item difficulties. More info here: https://www.rasch.org/rmt/rmt122q.htm

1	amle_fun(response, response_max, scale_id, scale_cuts, it_diffic)

`response`	is a vector of scored responses.
`response_max`	is a vector of the maximum of the scored responses.
`scale_id`	is a vector indicating the scale for each item. The scale ID must be the row ID in 'scale_cuts'.
`scale_cuts`	is a list of the cuts/thresholds for each scale type. Should be ordered to ID with 'scale_id'.
`it_diffic`	is a vector of item difficulties.

set.seed(1010)
#Simulate some response string
resp = c(1,1,2,2,3,3,4,4)

#Simulate maximum responses
max_responses = c(2,2,3,3,3,3,4,4)

#Identify the scale type for each item
scale_ID = c(1,1,2,2,2,2,3,3)

#List of a made-up scale thresholds
final_scale = list("ScaleA" = c(-0.2,0.2),
                   "ScaleB" = c(-0.3, -0.2, 0.5),
                   "ScaleC" = c(-0.4, -0.1, 0.3, 0.2))

#Simulate item difficulty parameters
item_difficulties = c(runif(8, min = -3, max = 3) )

amle_fun(resp, max_responses, scale_ID, final_scale, item_difficulties)