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jeksterslab
simStateSpace:Simulate Data from State Space Models
Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 3 days ago.
simulationstate-space-modelopenblascppopenmp
1 stars 5.77 score 75 scripts 2 dependentsjeksterslab
bootStateSpace:Bootstrap for State Space Models
Provides a streamlined and user-friendly framework for bootstrapping in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 2 months ago.
4.01 score 51 scriptsatsa-es
marssTMB:Fast fitting of MARSS models with TMB
Companion to the MARSS package. Fast fitting of MARSS models with TMB. See the MARSS documentation. All the model syntax and features are the same as for the MARSS package.
Maintained by Elizabeth E. Holmes. Last updated 2 years ago.
marssmultivariate-timeseriesstate-space-modeltime-seriestmb
1 stars 3.68 score 19 scriptsantcalcagni
ssMousetrack:Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan
Estimates previously compiled state-space modeling for mouse-tracking experiments using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.
Maintained by Antonio Calcagnì. Last updated 15 days ago.
bayesian-data-analysismouse-trackingstate-space-modelcpp
2.70 score 8 scripts