Title: Complex Hierarchy Questions in Network Meta-Analysis
Description: Derives the most frequent hierarchies along with their probability of occurrence. One can also define complex hierarchy criteria and calculate their probability. Methodology based on Papakonstantinou et al. (2021) <DOI:10.21203/rs.3.rs-858140/v1>.

Title: Thresholds and Invariant Intervals for Network Meta-Analysis
Authors@R: person("David", "Phillippo", email="david.phillippo@bristol.ac.uk", role=c("aut","cre"))
Description: Calculation and presentation of decision-invariant bias adjustment
thresholds and intervals for Network Meta-Analysis, as described by
Phillippo et al. (2017) <doi:10.1111/rssa.12341>. These describe the
smallest changes to the data that would result in a change of decision.
Imports: nnls, grid, gridExtra, gtable, Matrix, ggplot2

Phillippo et al. (2018) <doi:10.1111/rssa.12341>. These describe the

Title: Non-parametric Multiple Change-points Detection
Description: Without the need to know the true number of change-points in advance,
this package provides a function for detecting multiple change-points
using  a non-parametric maximum likelihood approach.
Packaged: 2014-05-22 13:18:32 UTC; lancezhange

Authors@R: person("Lena", "Carel", email = "lena.carel@gmail.com", role = c("aut", "cre"))
Description: Provides a version of the Expectation-Maximization algorithm for
mix-models, reducing the numbers of parameters to estimate using
For more explanations, see pre-print of Carel and Alquier (2017) <arXiv:1709.03346>.
Imports: plyr, dplyr, d3heatmap, mixtools, tidyr

Packaged: 2019-04-02 12:24:02 UTC; lenacarel

Imports: plyr, dplyr, d3heatmap, mixtools, tidyr, capushe
Packaged: 2019-12-06 14:06:18 UTC; lenacarel

Title: Non-Negative Matrix Factorization (NMF) using CUDA
Description: Wrapper package for the nmfgpu library, which implements several
Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms.
By using the acceleration of GPGPU computing, the NMF can be used for
real-world problems inside the R environment. All CUDA devices starting with
Kepler architecture are supported by the library.
Imports: Rcpp (>= 0.11.4), Matrix, SparseM, stats, stringr, tools,
Packaged: 2016-04-27 09:27:37 UTC; Sven Koitka