Package documentationOverview of functions in the dscore package. 


Dscore for child development 

Identify whether your milestones are supportedFunctions to identify supported milestones and instruments. 

Extract item names 

Get a subset of items from the itemtable 

Get labels for items 

Decomposes item names into their four components 

Get your data into shapeFunctions for mapping and recoding your data in a format that the dscore() function can understand. 

Rename items from gcdg into gsed lexicon 

Sorts item names according to userspecified priority 

Calculate Dscore and DAZThe main workhorse implements the algorithms to calculate the Dscore and the DAZ from 1) the child’s milestone scores, 2) the itembank, 3) the prior and 4) the reference. 

Dscore estimation 

Calculate posterior of ability 

Obtain difficulty parameters from item bank 

Working with referencesSpecification of the models can be made more convenient using the following set of helpers. 

Calculate DevelopmentforAge Zscore (DAZ) 

Get Dscore reference 

Get age equivalents of items that have a difficulty estimate 

Median Dscore from the base population for a given key 

Internal functionsFor research purposes only. 

Median Dscore from the default references for the given key 

Median of Dutch references 

Median of GCDG references 

Median of phase1 references 

Median of preliminary_standards 

Calculate posterior for one item given score, difficulty and prior 

Normalize distribution 

DatasetsBuiltin datasets 

Available keys for calculating the Dscore 

Collection of items fitting the Rasch model 

Collection of items from instruments measuring early child development 

Collection of ageconditional reference distributions 

Outcomes on developmental milestones for pretermborn children 

Sample of 10 children from the GSED Phase 1 study 

Sample of 10 children from gpa (SF) 

Sample of 10 children from gto (LF) 

Sample of 10 children from GSED HF 