Title: Data preparation, estimation and prediction in multi-state
Author: Hein Putter, Liesbeth de Wreede, Marta Fiocco
Description: Functions for data preparation, descriptives, hazard
estimation and prediction with Aalen-Johansen or simulation in

Title: Data Preparation, Estimation and Prediction in Multi-State
Author: Hein Putter, Liesbeth de Wreede, Marta Fiocco, with contributions by
Description: Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models.

Description: Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models, see Putter, Fiocco, Geskus (2007) <doi:10.1002/sim.2712>.

Description: Functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models

Description: The mstate packages contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models.

Imports: rlang, data.table, magrittr, lattice, RColorBrewer, viridis
Suggests: cmprsk, ggplot2, knitr, rmarkdown

Imports: rlang, data.table, lattice, RColorBrewer, viridisLite
Suggests: cmprsk, ggplot2, knitr, rmarkdown, relsurv (>= 2.2-5)

Author: Kevin Michael Frick <kmfrick98@gmail.com>
Description: Implements a minimum-spanning-tree-based heuristic for k-means clustering using a union-find disjoint set and the algorithm in Kruskal (1956) <doi:10.1090/S0002-9939-1956-0078686-7>.

Title: Analyze MS/MS Protein Melting Data
Description: Software to aid in modeling and analyzing mass-spectrometry-based
proteome melting data. Quantitative data is imported and normalized and
thermal behavior is modeled at the protein level. Methods exist for
normalization, modeling, visualization, and export of results. For a
general introduction to MS-based thermal profiling, see Savitski et al.
Imports: foreach, parallel, doParallel, nls2, RColorBrewer, plotrix
Suggests: RSQLite, testthat, knitr, rmarkdown
Collate: mstherm.R classes.R normalization.R modeling.R plot.R