Title: Joint Latent Class Trees for Joint Modeling of Time-to-Event and
Author: Ningshan Zhang and Jeffrey S. Simonoff
Description: Implements the tree-based approach to joint modeling of time-to-event and longitudinal data. This approach looks for a tree-based partitioning such that within each estimated latent class defined by a terminal node, the time-to-event and longitudinal responses display a lack of association. See Zhang and Simonoff (2018) <arXiv:1812.01774>.

Title: Joint Latent Space Model for Social Networks with Multivariate
Description: Joint latent space models for social networks and multivariate attributes using a fast inference approach (Wang et al. (2019) <arXiv:1910.12128>).
Imports: stats, utils, graphics, ellipse, mvtnorm, expm, boot,
matrixcalc, lvm4net, pROC, network, Matrix, grDevices

Title: Read from/Write to Disk Matrices with any Data Type in a Binary
Author: Juan Domingo [aut, cre] (<https://orcid.org/0000-0003-4728-6256>),
Spanish Ministry of Science and Innovation, MCIN/AEI
Authors@R: c(person("Juan","Domingo", email = "Juan.Domingo@uv.es", role=c("aut","cre"), comment=c(ORCID="0000-0003-4728-6256")),
person("Guillermo","Ayala", email = "Guillermo.Ayala@uv.es", role=c("ctb"), comment=c(ORCID="0000-0002-6231-2865")),
person("Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033>", role=c("fnd")))
Description: A mainly instrumental package meant to allow other packages whose core is written in 'C++' to read, write
and manipulate matrices in a binary format so that the memory used for them is no more than strictly needed. Its functionality
is already inside 'parallelpam' and 'scellpam', so if you have installed any of these, you do not need to install 'jmatrix'.
Using just the needed memory is not always true with 'R' matrices or vectors, since by default they are of double type. Trials
like the 'float' package have been done, but to use them you have to coerce a matrix already loaded in 'R' memory to a float matrix,
and then you can delete it. The problem comes when your computer has not memory enough to hold the matrix in the first place, so
you are forced to load it by chunks. This is the problem this package tries to address (with partial success, but this is a
difficult problem since 'R' is not a strictly typed language, which is anyway quite hard to get in an interpreted language).
This package allows the creation and manipulation of full, sparse and symmetric matrices of any standard data type.