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gh1
(GSED-HH, JAN 2023) to
builtin_itemtable
and builtin_itembank
as part
of key gsed2212
sample_sf
,
sample_lf
and sample_hf
gl1
instruments as: aa –> gm, bb
–> lg, cc –> fmgl1aad001
–>
gl1gmd001
, and so onselect()
and
pivot_longer()
to conform to tidyselect 1.2.0
grammargsed2206
and gsed2208
, as
well as analyses that rely on correct LF item labels. Version 1.7.0
corrects these problems.LF1
, corrected using RedCAP comparisons from
Phase_1_master_data_dictionary_V1.0_29_11_2022.xlsx
;LF2
, from
GSED LF Item Guide_October22_FINAL_clean_27Nov22.docx
and
manually matched to LF1
.gsed2212
gs1
(GSED SF V1.0) and
gl1
(GSED LF V1.0)gto
labels with correct ordergsed2212
. This key repairs problems
in gsed2206
and gsed2208
.get_labels()
now returns the labels in the same order
as items
gsed2212
with 18 ECDI items using Phase 1
validation databuiltin_itemtable
and
builtin_itembank
with correct LF item orderdscore::count_mu_phase1(t)
when
t
is a vector containing NA
sgsample
with 10 cases with SF and
LF scoresorder
argument to
get_itemnames()
sort_itemnames()
exampledscore.cpp
sirt
packagegsed2208
and 293_0
)
using the Phase 1 validation data for the GSED SF and GSED LF.293_0
as the GSED core model and
extended it to include the 818 items that fitted the previous model
(“gsed2206”).phase1
), based on LF and SF
data from cohorts GSED-BGD, GSED-PAK and GSED-TZA studies.gsed2208
and default
population
to
“phase1”.**. If you want the old behavior, specify
key =
“gsed1912”or
key =
“gsed2206”to functions that accept the
keyargument (
dscore(),
dscore_posterior(),
get_age_equivalent(),
get_tau()`).get_age_equivalent()
and
get_tau()
consistent with dscore()
phase1
reference to
get_reference()
zad()
and
daz()
count_mean_phase1()
for setting prior mean equal
to the GSED Phase 1 referencecount_mean_phase1()
dscore()
prior_mean functionality to deal with
the to-be-implemented new reference as “phase1”count_mean_phase1()
functiongsed2206
and
294_0
population
when key is
294_0
.294_0
to the
builtin_itembank
.relevance
argument to dscore()
and
dscore_posterior()
to restrict calculation of D-scores to
those items that have their tau
within this relevance
interval around the dynamic EAP estimate.builtin_itembank
that inherits old
(gsed1912) tau’s into new key (gsed2206) for instruments
gto
and gpa
. As a consequence, D-score were
incorrectly calculated when gto
and gpa
item
names were used.get_age_equivalent()
that resulted in
age interval estimates that were too narrow on the D-score scale.gsed2206
, lf2206
and
sf2206
) that incorporate Phase 1 validation data for the
GSED SF, GSED LF and BSID.gsed2206
.
If you want the old behavior, specify key = "gsed1912"
to
functions that accept the key
argument
(dscore()
, dscore_posterior()
,
get_age_equivalent()
, get_tau()
).builtin_itemtable
with names and labels for
gpa
(SF), gto
(LF) and gsd
(novel
SF) items.metric = "logit"
and transform
parameters
specified. The D-scores calculated under different transforms are now
linear transformations of each other.D-score/dscore
for increased visibilitydata-raw/data/bds)edited.csv
ddata
package to
builtin_itemtable
itemtable_20200424.txt
with minimal item
definitionsddata
packagebuiltin_itemtable
get_itemtable()
function gets a new argument
decompose
for adding info from decomposed item namesget_itemtable()
when
itemtable
argument is specifieddrop = TRUE
to account for new behavior
in tibble 3.0.0
get_itemtable()
.dscore
and clopus
packages. The
dscore
package now first rounds the D-score and then
calculate DAZ.dscore()
function now automatically select the
prior_mean = ".dutch"
option when the user specifies
key == "dutch"
. This change repair an error in the D-score
calculation that occurs when only key == "dutch"
was
given.dscore()
function now silently handles warnings
that may result from taking the log of negative ages.dscore 1.0.0
! For the development
history, see https://github.com/D-score/dscoreNEWS.md
file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.