Estimation equations are from a variety of sources but are, in general, based on regressions between skeletal measurements (e.g., femoral circumference) and body mass in living taxa.

Estimation equations are from a variety of sources but are, in general, based on regressions between skeletal measurements (e.g., stylopodial circumference) and body mass in living taxa (Campione and Evans, 2012).

Estimation equations are from a variety of sources and associated error estimation.

Simulate Multidimensional Adaptive Testing for the
Multidimensional 3-Parameter Logistic (M3PL) model

Simulates Multidimensional Adaptive Testing using the multidimensional three-parameter logistic model as described in Segall (1996) <doi:10.1007/BF02294343>, van der Linden (1999) <doi:10.3102/10769986024004398>, Reckase (2009) <doi:10.1007/978-0-387-89976-3>, and Mulder & van der Linden (2009) <doi:10.1007/s11336-008-9097-5>.

Model-Averaged Tail Area Wald (MATA-Wald) Confidence Interval
Provides a function for calculating the Model-Averaged Tail Area
Wald (MATA-Wald) confidence interval, which is generated from single-model
estimators and AIC model weights

Calculates Model-Averaged Tail Area Wald (MATA-Wald) confidence
intervals, which are constructed using single-model estimators and model
weights.

person(given = "Daniel",
family = "Turek",
role = c("aut", "cre"),
email = "danielturek@gmail.com")
Calculates Model-Averaged Tail Area Wald
(MATA-Wald) confidence intervals, which are constructed using
single-model estimators and model weights. See Turek and Fletcher
(2012) <doi:10.1016/j.csda.2012.03.002> for details.

Model-Averaged Tail Area (MATA) Confidence Interval and
Distribution
Calculates Model-Averaged Tail Area Wald
(MATA-Wald) confidence intervals, and MATA-Wald confidence densities
and distributions, which are constructed using single-model
frequentist estimators and model weights. See Turek and Fletcher
(2012) <doi:10.1016/j.csda.2012.03.002> and Fletcher et al (2019)
<doi:10.1007/s10651-019-00432-5> for details.