TRAITECOEVO . GITHUB . IO {
}
Title:
Hierarchical Methods for Differential Equations β’ hmde
Description:
Wrapper for Stan that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available. O
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Keywords {π}
hmde, log, model, rate, parameters, vector, individual, yobs, based, growth, data, time, case, fit, differential, equation, observations, models, measurement, built, prior, constant, maximum, canham, length, nobs, bug, license, author, change, estimate, repeated, process, bayesian, longitudinal, estimating, implemented, file, chosen, distribution, single, version, bertalanffy, github, error, false, daniel, falster, contributor, tess,
Topics {βοΈ}
pre-defined functions arising daniel falster longitudinal structure π bayesian inverse problem chosen prior values pre-print paper growth rate parameter hump-shaped function growth rate parameters π π‘ repeat measurement surveys maximum growth rate von bertalanffy mode current developmental version pdf file repeated observations coming bug-proofing process david warton π‘ π individual π π log prior distributions π π inbuilt models parameterise οΏ½ constant model quantity based π takes π log contents hmde 1 installation βhmde traitecoevo/hmde von bertalanffy π π hyper-parameters parameters π repeated observations input data average rate individual level single individual measurement error ecological applications distribution standard deviations multiple individuals maximum occurs active development verbose = false show_messages = false
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