
gjam – Clark Lab - Duke University
gjam exploits censoring to combine multiple data types in a single model, including mixtures of continuous and discrete data. For example, the microbial community (composition data) might …
Generalized joint attribute modeling - gjam - The Comprehensive …
May 23, 2022 · gjam generates an object of class "gjam", allowing it to appropriate the summary and print functions in R. To avoid conflicts with other packages, gjam function names begin …
Geejam Hotel
Geejam Hotel is a small luxury hotel located in the picturesque parish of Portland, Jamaica overlooking the Caribbean sea.
Generalized joint attribute modeling for biodiversity analysis: Median-zero, multivariate, multifarious data, Ecological Monographs, in press. interpretation is needed on the observation …
We develop a generalized joint attribute model (GJAM), a probabilistic framework that readily applies to data that are combinations of presence-absence, ordinal, continuous, discrete, …
GJAM: Theoretical Background and Example - Amazon Web Services
Jan 2, 2022 · The first part of this tutorial covers the theoretical background of a generalized joint attribute model (GJAM), which is a multivariate hierarchical Bayesian model. GJAM has many …
Generalized joint attribute modeling for biodiversity analysis: Median-zero, multivariate, multifarious data, in review. gjam models multivariate responses that can be combinations of …
CRAN: Package gjam
gjam: Generalized Joint Attribute Modeling. Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full …
Generalized joint attribute modeling - gjam James S. Clark 2016-04-25 Contents Overview ...
gjam: Generalized Joint Attribute Modeling - R Package …
May 24, 2022 · Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are …
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