Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package. Suitable for applying unidimensional and multidimensional
computerized adaptive tests using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Package also contains tools useful for performing Monte Carlo simulations
for studying the behaviour of computerized adaptive test banks.

c( person("Phil", family="Chalmers", email =
"rphilip.chalmers@gmail.com", role = c("aut", "cre"),
comment = c(ORCID="0000-0001-5332-2810")))
Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package (Chalmers (2016) <doi:10.18637/jss.v071.i05>).
Suitable for applying unidimensional and multidimensional
computerized adaptive tests (CAT) using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Additionally, optimal test designs (e.g., "shadow testing") are supported
for tests which contain a large number of item selection constraints.
Finally, package contains tools useful for performing Monte Carlo simulations
for studying the behavior of computerized adaptive test banks.
lattice, stats, Rcpp, methods, markdown, pbapply, lpSolve
Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>)

c(person("Phil", family="Chalmers", email =
"rphilip.chalmers@gmail.com", role = c("aut", "cre"),
comment = c(ORCID="0000-0001-5332-2810")),
person("Magnus",family="Nordmo",email =
"magnus.nordmo@psykologi.uio.no", role = "ctb",
comment = c(ORCID="0000-0002-1977-1038")))

Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package. Suitable for applying unidimensional and multidimensional
computerized adaptive tests (CAT) using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Additionally, optimal test designs (e.g., "shadow testing") are supported
for tests which contain a large number of item selection constraints.
Finally, package contains tools useful for performing Monte Carlo simulations
for studying the behavior of computerized adaptive test banks.