Authors@R: c(person("Daniel","Osorio", email="daniecos@uio.no",role=c("aut","cre"), comment = c(ORCID = "0000-0003-4424-8422")),

Packaged: 2018-06-08 19:24:09 UTC; dcosorioh

Description: PerFit contains several person fit indices that allow assessing whether
individual response patterns to tests or questionnaires are (im)plausible given
the other respondents in the sample or a specified Item Response Theory model.

Description: Several person-fit statistics (PFSs) are offered. These statistics allow assessing whether
the other respondents in the sample or given a specified item response theory model. Some PFSs apply to
dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs
(personal biserial correlation, caution index, (normed) number of Guttman errors,
agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include
extensions of lz, U3, and (normed) number of Guttman errors.
Imports: fda, Hmisc, irtoys, MASS, Matrix

Imports: stats, graphics, fda, Hmisc, irtoys, MASS, Matrix

are offered. These statistics allow assessing whether

Title: Permutations and Mallows distributions
Description: This package includes functions to work with the Mallows, Generalized Mallows and Weighted Mallows models. The considered distances are Kendall's $\tau$, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention in those related with the Kendall's-$\tau$, Cayley, Ulam and Hamming distances and the random generation of permutations.

Title: Permutations and Mallows Distributions
Author: Ekhine Irurozki <ekhine.irurozqui@ehu.eus>, Borja Calvo <borja.calvo@ehu.eus>, Jose A. Lozano <ja.lozano@ehu.eus>
Description: Includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).