fast_clara_jaccard() now returns the function call and all argument values
(including defaults) in $call, to make analyses easier to reproduce.get_cluster_sequences(): clusters are now returned in sorted order.fast_clara_jaccard(): fixed medoid indexing (fastkmedoids returns 0-based
indices), which could drop one medoid or select the neighbouring patient.MSCA was archived from CRAN on 2026-03-24 because its dependency
fastkmedoids was temporarily failing CRAN checks. This version restores
MSCA on CRAN and makes it independent of fastkmedoids for its default use.
Implement CLARANS as an option for the fast_clara_jaccard function
Corrected, modified and integrated sequence_stats() and get_cluster_sequences. The sequence frenquencies are computed by patient not on the total number of sequences
Corrected some spelling in the vignette.
Plot methods for sequences
Corrected, modified and integrated sequence_stats() and get_cluster_sequences. The sequence frenquencies are computed by patient not on the total number of sequences
Corrected some spelling in the vignette.
Plot methods for sequences
Added:
fast_clara_jaccard Fast CLARA-like clustering using Jaccard dissimilarityget_cluster_sequences Extract sequences of length k within clusterssequence_stats() to compute frequency, conditional probability, and relative risk of sequences by clusterA vignette displaying a basic workflow is available
fast_jaccard_dist were correctedThis version will hopeful permit to run basic analyses of electronic health records. Further examples and functions are expected soon.
Contained very basic information and only the make_state_matrix that can be useful