Author: Antonio Mora <a.c.m.ortiz@biotek.uio.no>, Ian Donaldson
Depends: R (>= 2.12.1), igraph (>= 0.6), graph, RBGL

Author: Antonio Mora <antoniocmora@gmail.com>, Ian Donaldson
Depends: R (>= 2.12.1), graph, RBGL, igraph (>= 0.6)

Author: Antonio Mora <antoniocmora@gmail.com>, Ian Donaldson <ian.oslo@gmail.com>

Author: Eufrasio de A. Lima Neto / Claudio A. Vasconcelos
Maintainer: Eufrasio de A. Lima Neto <eufrasio@de.ufpb.br> ; Claudio A.
Description: Use the centre method, centre and range method and MinMax
method to fit a linear regression model for symbolic

Title: Regression methods for interval-valued variables
Description: This package contains some important regression methods
for interval-valued variables. For each method, it is available
the fitted values, residuals and some goodness-of-fit

Title: Regression Methods for Interval-Valued Variables
Author: Eufrasio de A. Lima Neto / Claudio A. V. de Souza Filho / Pedro R. D. Marinho
Maintainer: Eufrasio de A. Lima Neto <eufrasio@de.ufpb.br>
Description: Contains some important regression methods for interval-valued variables. For each method, it is available the fitted values, residuals and some goodness-of-fit measures.

Author: Eufrasio de A. Lima Neto with contribution from Claudio A.
the fitted values, residuals and some goodness-of-fit measures.

Title: Reproducibility for Interval-Censored Data
Description: This package calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements. ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects' means and residuals) is provided.

Description: Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects' means and residuals) is provided.