Description: Constructs trees for multivariate survival data using marginal and frailty models.
Imports: survival, MASS, grDevices, graphics, stats

person("Peter", "Calhoun", email="calhoun.peter@gmail.com", role=c("aut", "cre")),
Imports: graphics, grDevices, MASS, stats, survival

Imports: graphics, grDevices, MASS, methods, partykit, stats, survival

Grows, prunes, and selects the best-sized tree.
Imports: graphics, grDevices, MASS, Formula, methods, partykit, stats

Title: Hypothesis Testing for Markov Switching Models
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2022) <https://grodriguezrondon.com/research/> that can be used to identify the number of regimes in Markov switching models.
Imports: stats, rlang, nloptr, Rcpp (>= 1.0.1), numDeriv, lmf, foreach,
Packaged: 2022-10-18 14:34:50 UTC; grodriguezrondon
Author: Gabriel Rodriguez Rondon [cre, aut],

Title: The MSToolkit library for clinical trial design
Description: MSToolkit library for evaluating clinical trial design and
analysis operating characteristics through simulation.

Author: Mike K Smith <mstoolkit@googlemail.com>
Description: MSToolkit library for Clinical Trial Design
Suggests: RUnit, RNMImport, doParallel, foreach
X-CRAN-Original-Maintainer: Mike K Smith <mstoolkit@googlemail.com>
X-CRAN-Comment: Orphaned on 2013-02-22 as the maintainer is
unresponsive and the package violated CRAN policy (and has been

Author: Mike K Smith <mstoolkit@mango-solutions.com>
Maintainer: Mike K Smith <mstoolkit@googlemail.com>
Suggests: RUnit, RNMImport, doParallel, doSNOW, snow, foreach

Description: MSVAR estimates a 2 state Markov Switching VAR. The likelihood
function is solved via numerical optimizaton using R's 'nlminb' optimization
routine. Further packages will include models with more than 2 states, switching
exogenous variables and the use of simulated annealing in the optimization process
Packaged: Sun Aug 31 09:30:13 2008; Jamie