c(person("Stef", "van Buuren", email = "stef.vanbuuren@tno.nl", role = c("cre", "aut")),
person("Iris", "Eekhout", email = "iris.eekhout@tno.nl", role = "aut"),
person("Arjan", "Huizing", email = "arjan.huizing@tno.nl", role = "aut"))
The D-score is a quantitative measure of child development.
The D-score follows the Rasch model. See Jacobusse, van Buuren and
Verkerk (2006) <doi:10.1002/sim.2351>. The user can convert
milestone scores from 19 assessment instruments into the D-score
and the DAZ (D-score adjusted for age). Several tools assist in
mapping milestone names into the 9-position Global Scale of Early
Development (GSED) convention. Supports calculation of the D-score
using 'dutch' <doi:10.1177/0962280212473300>,
'gcdg' <doi:10.1136/bmjgh-2019-001724> and 'gsed' conversion keys.
The user can calculate DAZ using 'dutch' and 'gcdg' age-conditional
references.
dplyr (>= 0.8.2), Rcpp, stats, stringr, tidyr (>= 1.0.0)
ggplot2, kableExtra, knitr, lme4, rmarkdown, sirt, testthat
Stef van Buuren, Iris Eekhout, Arjan Huizing
Stef van Buuren [cre, aut],
Iris Eekhout [aut],
Arjan Huizing [aut]

dplyr (>= 0.8.2), Rcpp, stats, stringr, tidyr (>= 1.0.0),
tidyselect

Multivariate Time Series Library
A Users' Guide is available in dse1/doc/guide.pdf
and also at 'http://www.bank-banque-canada.ca/pgilbert'
The package dse1 is the base system, including multivariate
ARMA and State Space models.
Package dse2 has extensions for evaluating estimation
techniques, forecasting, and for evaluating forecasting models.
Package syskern has some OS and S/R related utilities,
including a mechanism for generating the same random
numbers in S and R.
Package tframe is a kernal of methods for program with time series.
See also the related bundle dseplus.

Multivariate Time Series Library
A Users' Guide is available in dse1/doc/guide.pdf
and also at 'http://www.bank-banque-canada.ca/pgilbert'
The package dse1 is the base system, including multivariate
ARMA and State Space models.
Package dse2 has extensions for evaluating estimation
techniques, forecasting, and for evaluating forecasting models.
Package syskern has some OS and S/R related utilities,
including a mechanism for generating the same random
numbers in S and R.
Package tframe is a kernel of methods for program with time series.
See also the related bundle dseplus.