c(
person("Garth", "Tarr", email = "garth.tarr@gmail.com", role = c("aut", "cre")),
person("Mike", "Bostock", role = c("aut", "cph"), comment = "d3.js library and much of pairsD3 code in htmlwidgets/lib, https://d3js.org"))
Creates an interactive scatterplot matrix using the D3 JavaScript
library. See <https://d3js.org/> for more information on D3.
Garth Tarr [aut, cre],
Mike Bostock [aut, cph] (d3.js library and much of pairsD3 code in
htmlwidgets/lib, https://d3js.org)

Rasch Model Parameters by Pairwise Algorithm
The package pairwise offers functions for the explicit
calculation, not estimation!, of the rasch item parameters for
dichotomous and polytomous item responses, using a pairwise
comparison approach.
'grmSE.dicho.R' 'grmSE.poly.R' 'ipSE.dicho.R' 'ipSE.poly.R'
'itempar.dicho.R' 'itempar.poly.R' 'pairwise-package.r'
'plot.grmSE.R' 'plot.grmSEpo.R' 'plot.ippw.R' 'plot.ippwpo.R'
'plot.ippwpose.R' 'plot.ipSE.R' 'summary.ippw.R'
'summary.ippwpo.R' 'summary.ippwpose.R' 'summary.ipSE.R'

The package pairwise offers functions for the explicit
calculation, not estimation!, of the rasch item parameters for dichotomous
and polytomous item responses, using a pairwise comparison approach.

'grmSE.dicho.R' 'grmSE.poly.R' 'ipSE.dicho.R' 'ipSE.poly.R'
'itempar.dicho.R' 'itempar.poly.R' 'pairwise-package.r'
'plot.grmSE.R' 'plot.grmSEpo.R' 'plot.ippw.R' 'plot.ippwpo.R'
'plot.ippwpoSE.R' 'plot.ipSE.R' 'thetaML.dicho.R'
'ppML.dicho.R' 'thetaWL.dicho.R' 'ppWL.dicho.R'
'summary.ippw.R' 'summary.ippwpo.R' 'summary.ippwpoSE.R'
'summary.ipSE.R' 'summary.grmSE.R' 'summary.grmSEpo.R'
'summary.ppMLdicho.R' 'summary.ppWLdicho.R' 'make.incidenz.R'
'ptbis.dicho.R'

The package pairwise offers functions for the explicit calculation
-- not estimation! -- of the rasch item parameters for dichotomous and
polytomous item responses, using a pairwise comparison approach.
'pairwise-package.r' 'make.incidenz.R' 'pair.R' 'pers.R'
'i.ptb.R' 'i.dummy.R' 'i.polyptb.R' 'ptbis.R' 'plot.pair.R'
'summary.pair.R' 'plot.pairSE.R' 'pairSE.R' 'summary.pairSE.R'
'grm.R' 'plot.grm.R' 'summary.grm.R' 'ftab.R' 'catprob.R'
'i.pvx.R' 'summary.pers.R' 'esc.R' 'i.pvx.matrix.R'
'i.str.pattern.R' 'i.expscore.R' 'pairwise.item.fit.R'
'pairwise.person.fit.R' 'i.GewLL.R' 'i.PersPar.R'
'i.dataprep1.R' 'i.missing_group.R' 'gif.R'