Description: Co-clustering of the rows and columns of a contingency or binary matrix, or double binary matrices and model selection for the number of row and column clusters. Three models are considered: the Poisson latent block model for contingency matrix, the binary latent block model for binary matrix and a new model we develop: the multiple latent block model for double binary matrices. A new procedure named bikm1 is implemented to investigate more efficiently the grid of numbers of clusters. Then, the studied model selection criteria are the integrated completed likelihood (ICL) and the Bayesian integrated likelihood (BIC). Finally, the co-clustering adjusted Rand index (CARI) to measure agreement between co-clustering partitions is implemented. Robert Valerie, Vasseur Yann, Brault Vincent (2021) <doi:10.1007/s00357-020-09379-w>.
pracma, ggplot2, reshape2, grid, lpSolve
Packaged: 2021-07-14 06:19:58 UTC; valerierobert

Author: T. G. Masaryk Water Research Institute, p.r.i.:
Ladislav Kasparek, Martin Hanel, Stanislav Horacek, Petr Maca, Adam Vizina
Description: The input data into the model are daily or monthly series of basin
average precipitation and air temperature. The structure of the model
is formed by a system of relationships describing basic principles of
water balance on ground, in the zone of aeration, including the effect
of vegetation cover, and in the saturated zone. Air temperature is used
as an indicator of energy conditions, which affect significantly the water
balance components, in particular the development and melting of snow cover.
The potential evapotranspiration is estimated either by a simple radiation
-based method, which considers temperature, day of the year and latitude
of the basin or by empirical relationships considering vegetation zone

Title: bild: a package for BInary Longitudinal Data
Author: M. Helena Gon�alves, M. Salom� Cabral and Adelchi Azzalini,
apart from a set of Fortran-77 subroutines written by R.
Piessens and E. de Doncker, belonging to the suite "Quadpack"
Maintainer: M. Helena Gon�alves <mhgoncal@ualg.pt>
Description: bild performs logistic regression for binary longitudinal
data, allowing for serial dependence among observations from a
given individual and a random intercept term. Estimation is via
maximization of the exact likelihood of a suitably defined
model. Missing values and unbalanced data are allowed, with
Depends: R (>= 2.10.0), methods, stats, graphics, utils