psp: Parameter Space Partitioning MCMC for Global Model Evaluation
In lenarddome/psp: Parameter Space Partitioning MCMC for Global Model Evaluation
psp-package R Documentation
Parameter Space Partitioning MCMC for Global Model Evaluation
Description
Implements an n-dimensional parameter space partitioning algorithm for evaluating
the global behaviour of formal computational models as described by Pitt, Kim,
Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Please cite the package in publications. Use citation("psp").
Author(s)
Lenard Dome
Maintainer: Lenard Dome lenarddome@gmail.com
References
Pitt, M. A., Kim, W., Navarro, D. J., & Myung, J. I. (2006). Global model analysis by parameter space partitioning. Psychological Review, 113(1), 57.
lenarddome/psp documentation built on Dec. 1, 2023, 4:01 a.m.
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| psp-package | R Documentation |
Parameter Space Partitioning MCMC for Global Model Evaluation
Description
Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Please cite the package in publications. Use citation("psp").
Author(s)
Lenard Dome
Maintainer: Lenard Dome lenarddome@gmail.com
References
Pitt, M. A., Kim, W., Navarro, D. J., & Myung, J. I. (2006). Global model analysis by parameter space partitioning. Psychological Review, 113(1), 57.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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