Imports: optimbase, psych, utils, matrixStats

Title: Obtaining and Estimating Unidimensional and Multidimensional IRT
unidimensional  and multidimensional Item Response Theory (IRT)

Author: Derek Beaton, Joseph Dunlop, Herve Abdi
Description: Non-parametric resampling-based inference tests for
Depends: prettyGraphs (>= 2.0.0), ExPosition (>= 2.0.0)

Description: Non-parametric resampling-based inference tests for ExPosition.
Depends: prettyGraphs (>= 2.1.4), ExPosition (>= 2.0.0)

Packaged: 2013-12-09 18:46:34 UTC; derekbeaton

Title: Probabilistic Verbal Autopsy Coding with InSilicoVA
Author: Zehang Li, Tyler McCormick, Sam Clark
Depends: R (>= 2.15.0), rJava, coda, ggplot2
Description: Computes individual causes of death and population cause-specific mortality fractions using the InSilicoVA algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used InterVA4 method. This package provides general model fitting and customization for InSilicoVA algorithm and basic graphical visualization of the output.

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.

Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.

Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.