mixvlmc - Variable Length Markov Chains with Covariates
Estimates Variable Length Markov Chains (VLMC) models and VLMC with covariates models from discrete sequences. Supports model selection via information criteria and simulation of new sequences from an estimated model. See Bühlmann, P. and Wyner, A. J. (1999) <doi:10.1214/aos/1018031204> for VLMC and Zanin Zambom, A., Kim, S. and Lopes Garcia, N. (2022) <doi:10.1111/jtsa.12615> for VLMC with covariates.
Last updated
machine-learningmarkov-chainmarkov-modelstatisticstime-seriescpp
6.03 score 6 stars 20 scripts 537 downloads
blvim - Boltzmann–Lotka–Volterra Interaction Model
Estimates Boltzmann–Lotka–Volterra (BLV) interaction model efficiently. Enables programmatic and graphical exploration of the solution space of BLV models when parameters are varied. See Wilson, A. (2008) <dx.doi.org/10.1098/rsif.2007.1288>.
Last updated
boltzmann-lotka-volterraspatial-analysisspatial-interaction-modelingopenblascppopenmp
5.88 score 3 stars 7 scripts 165 downloads