Shared parameter models for the joint modeling of longitudinal and time-to-event data.

Provides features that allow users to download 
  weather data published by the Japan Meteorological Agency (JMA) website 
  (<https://www.jma.go.jp/jma/index.html>). The data includes information 
  dating back to 1976 and aligns with the categories available on the website. 
  Additionally, users can process the best track data of typhoons and easily 
  handle earthquake record files.

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.

Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).