semi-distributed hydrological model. Includes some preprocessing, utility and
Imports: deSolve, maptools, rgdal, rgeos, zoo, xts, sp, raster,

Title: Complexity of Short and Coarse-Grained Time Series
Description: While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), <doi:10.17605/OSF.IO/GWTKX>).

Title: Dimensionality Reduction Methods in a Common Format
Provides a common interface for applying dimensionality reduction methods,
such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps,
Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'),
and Uniform Manifold Approximation and Projection ('UMAP').
Has built-in support for sparse matrices.
Imports: dynutils (>= 1.0.3), Matrix, irlba
Suggests: testthat, destiny, diffusionMap, fastICA, lle, MASS, Rtsne,

Suggests: testthat, destiny, diffusionMap, fastICA, lle, MASS, Matrix,

Imports: dynutils (>= 1.0.5), irlba, lmds
Suggests: testthat, destiny, diffusionMap, fastICA, igraph, lle, MASS,

Imports: dynutils (>= 1.0.5), irlba, lmds, stats, tibble
Suggests: testthat, diffusionMap, fastICA, igraph, lle, MASS, Matrix,

Title: Resisting Neighbor Label Attack in a Dynamic Network
Description: An anonymization algorithm to resist neighbor label attack in a dynamic network.
Imports: igraph, doParallel, foreach, grDevices, graphics, utils,

Title: Feature Importance for Dynamic Processes
Description: Calculating feature importance scores from trajectories using the random forests algorithm and more. Saelens and Cannoodt et
Imports: dplyr, dynutils (>= 1.0.2), dynwrap (>= 1.0.0), purrr,
magrittr, methods, ranger, reshape2, testthat, tidyr, tibble

Title: Fitting Dynamic Frailty Models with the EM Algorithm
Maintainer: Theodor Adrian Balan <t.a.balan@lumc.nl>
Description: Fits semiparametric dynamic frailty models according to the methodology of Putter and van Houwelingen (2015) <doi:10.1093/biostatistics/kxv002>. Intermediate models, where the frailty is piecewise constant on prespecified intervals, are also supported. The frailty process is taken to have a specific auto-correlation structure, and the supported distributions include gamma, inverse Gaussian, power variance family (PVF) and positive stable.
Imports: Rcpp (>= 0.12.8), magrittr, tibble, dplyr, tidyr
Suggests: frailtyEM, knitr, parfm, ggplot2
Collate: 'RcppExports.R' 'dynfrail_fit.R' 'dynfrail_aux.R' 'dynfrail.R'