select the next item by maximum Fisher information
Source:R/fct_cat_engine_ggrm.R
compute_next_item_ggrm.Rdselect the next item by maximum Fisher information
Value
item index of the selected item in the bank
info information of the selected item at theta
available indices of the items still available
Note
this function should return the same result as
catR::nextItem(itemBank,model="MGRM",theta,out,criterion="MFI") when
randomesque is 1 and the most informative item is unique
when several items tie exactly catR draws one of them at random while this
function takes the first
with randomesque above 1 catR also keeps every item tied with the last one kept
so it can draw from more than randomesque items
when the items of a block have the same alpha_j their information curves are
copies of one another so the choice among them depends only on where theta
sits relative to each b_j
with different alpha_j the curves differ in height as well so the information
of every available item has to be computed at theta
Examples
bank<-matrix(c(1.227,0.845,1.694,1.012,2.103,
-0.482,0.137,0.715,-0.936,0.298,
rep(1.812,5),rep(0.603,5),rep(-0.452,5),rep(-1.963,5)),
nrow=5,
dimnames=list(c(1,2,3,4,5),
c("alphaj","bj","c1","c2","c3","c4")))
catR::nextItem(bank,model="MGRM",theta=0,criterion="MFI") # with catR installed
#> $item
#> [1] 5
#>
#> $par
#> alphaj bj c1 c2 c3 c4
#> 2.103 0.298 1.812 0.603 -0.452 -1.963
#>
#> $info
#> [1] 1.258847
#>
#> $criterion
#> [1] "MFI"
#>
#> $randomesque
#> [1] 1
#>
#> $name
#> [1] "5"
#>
#> $prior.prop
#> [1] NA
#>
#> $post.prop
#> [1] NA
#>
#> $cb.prop
#> [1] NA
#>
compute_next_item_ggrm(theta=0,bank)
#> $item
#> [1] 5
#>
#> $info
#> [1] 1.258847
#>
#> $available
#> [1] 1 2 3 4 5
#>