IRT models for multiple choice items (mcIRT)
This package provides functions to estimate two popular
IRT-models: The old-school Nominal Response Model (Bock 1972)
and the quite recently developed Nested Logit Model (Suh & Bolt
2010). These are two models to examine multiple-choice items
and other multicategorial response formats.

This package provides functions to estimate two popular IRT-models: The Nominal Response Model (Bock 1972) and the quite recently developed Nested Logit Model (Suh & Bolt 2010). These are two models to examine multiple-choice items and other multicategorial response formats.

A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
Algorithms to approximate the Pareto-front of multi-criteria minimum spanning tree problems. Additionally, a modular toolbox for the generation of multi-objective benchmark graph problems is included.
checkmate (>= 1.1), parallelMap (>= 1.3), reshape2 (>= 1.4.1),
gtools, vegan, ggplot2 (>= 1.0.0), lhs
testthat (>= 0.9.1), knitr, rmarkdown, gridExtra

Estimating Node Fitness from a Single Network Snapshot by Markov
Chain Monte Carlo
A Markov chain Monte Carlo method is provided to estimate fitness from a single network snapshot. Conventional methods require the complete information about the appearance order of nodes and edges in the network. This package performs inference on the timeline space, and so does not require such information.
Rcpp (>= 0.11.3) , grDevices, graphics, stats, RColorBrewer,
PAFit

Estimating Preferential Attachment from a Single Network
Snapshot by Markov Chain Monte Carlo
A Markov chain Monte Carlo method is provided to estimate the preferential attachment function from a single network snapshot. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function. Auxiliary variables are introduced to facilitate fast Gibbs sampling.