MCL - Markov Cluster Algorithm
Contains the Markov cluster algorithm (MCL) for identifying clusters in networks and graphs. The algorithm simulates random walks on a (n x n) matrix as the adjacency matrix of a graph. It alternates an expansion step and an inflation step until an equilibrium state is reached.
Last updated
4.50 score 2 stars 5 dependents 105 scripts 596 downloadsHMMpa - Analysing Accelerometer Data Using Hidden Markov Models
Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014). <doi:10.1371/journal.pone.0114089>.
Last updated
accelerometer-datahidden-markov-modeltime-series
3.99 score 1 dependents 65 scripts 309 downloadstpc - Tiered PC Algorithm
Constraint-based causal discovery using the PC algorithm while accounting for a partial node ordering, for example a partial temporal ordering when the data were collected in different waves of a cohort study. Andrews RM, Foraita R, Didelez V, Witte J (2021) <arXiv:2108.13395> provide a guide how to use tpc to analyse cohort data.
Last updated
causal-discoverycohort-analysisgraphical-models
3.90 score 8 stars 20 scripts 205 downloadsmicd - Multiple Imputation in Causal Graph Discovery
Modified functions of the package 'pcalg' and some additional functions to run the PC and the FCI (Fast Causal Inference) algorithm for constraint-based causal discovery in incomplete and multiply imputed datasets. Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V (2020) <doi:10.1111/rssa.12565>; Andrews RM, Bang CW, Didelez V, Witte J, Foraita R (2021) <doi:10.1093/ije/dyae113>; Witte J, Foraita R, Didelez V (2022) <doi:10.1002/sim.9535>.
Last updated
causal-discoverygraphical-modelsmultiple-imputation
3.86 score 6 stars 24 scripts 321 downloadsCVN - Covariate-Varying Networks
Inferring high-dimensional Gaussian graphical networks that change with multiple discrete covariates. Louis Dijkstra, Arne Godt, Ronja Foraita (2024) <doi:10.48550/arXiv.2407.19978>.
Last updated
graphical-modelshigh-dimensional-statisticsnetwork-analysiscpp
2.60 score 8 scriptswflsa - Weighted Fused LASSO Signal Approximator ('wFLSA')
A package for computing the Weighted Fused LASSO Signal Approximator (wFLSA).
Last updated
fused-lassolassolasso-regressioncpp
2.00 score 3 scripts