Abstract & Overview
Makowski et al., (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541, https://doi.org/10.21105/joss.01541
Home/e-Resources/Mathematics/bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework
PeriodicalsMathematics
bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework
Checking your access to this record.
Cite this record
Dominique Makowski, Mattan S. Ben‐Shachar, Daniel Lüdecke (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. The Journal of Open Source Software, 4(40), 1541–1541. https://doi.org/10.21105/joss.01541Copy in another style
Makowski, D., Ben‐Shachar, M. S., & Lüdecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. The Journal of Open Source Software, 4(40), 1541–1541. https://doi.org/10.21105/joss.01541
Author names are used as deposited, so check their order before you submit.
Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.
Related Literature
Representing WSDL with Extended UML
Esperanza Marcos, Belén Vela
In Revista Colombiana de Computación
Construction of Hyperbolic Fuzzy Set and its Applications in Diverse COVID-19 Associated Problems
Palash Dutta, Gourangajit Borah
In New Mathematics and Natural Computation
Automated brain tumor segmentation on multi-modal MR image using SegNet
Xianfang Sun, Xin Mi Yang
In Computational Visual Media
Generalized Hamiltonian Dynamics
P. A. M. Dirac
In Canadian Journal of Mathematics