| genResponses {conquestr} | R Documentation |
Generates responses to i items for n cases given some item parameters, (true) person abilities, and other inputs.
genResponses(
abilities,
itemParams,
BMatrix = 1,
discrim = 1,
mcarP = 0,
perturbP = NULL
)
abilities |
A matrix of person abilities. One column per dimension. Rows are cases. |
itemParams |
A list of item params of the structure used in 'simplef' (a matrix of k categories by three (category score, delta dot, tau)). See conquestr::makeItemList for a helper to generate this list. |
BMatrix |
A simplified B-matrix mapping dimensions (columns) to items (rows). Or the integer "1" if items are dichotomous and ability is uni-dimensional. |
discrim |
A vector of item discrimination paramters, or an integer where all items have constant discrimination. |
mcarP |
A double indicating the proportion of missing data under the MCAR assumption. |
perturbP |
A list, where each element of the list contains a data frame referring to an item. Each data frame is either a 1 * 4 data frame describing the general perturbation to apply to the probabilities for that item (currently developed) or a pair of vectors mapping theta to probabilities (not developed). In the first case - the data frame is in this order: - "item": item number (int), - "type": the type of perturbation to apply (string, "flat", or "steep"), - "pivot": probability pivot point around which the perturbation is applied (double in0 < x < 1), - "factor": magnitude of the perturbation (double - when in 0 < x < 100 probs remain positively correlated with theta (0 = no perturbation, 100 = maximum perturbation) when in100 < x < Inf probs are negatively correlated with theta). |
A matrix.
## Not run:
myResponses<- genResponses(rnorm(1000, 0, 1), runif(10, -2, 3)) # TODO - update this
## End(Not run)