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Rel 0.0.1 - Updated README (alvaro1101 acknowledgement)
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README.md

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### Introduction
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These files implement Pareto smoothed importance sampling (PSIS) and
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PSIS leave-one-out cross-validation for Julia base on the [Matlab package called `PSIS` by Aki Vehtari](https://github.com/avehtari/PSIS.git)
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PSIS leave-one-out cross-validation for Julia base on the [Matlab package called `PSIS` by Aki Vehtari](https://github.com/avehtari/PSIS.git).
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###Included functions
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Included functions
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------------------
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psisloo
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Pareto smoothed importance sampling leave-one-out log predictive densities.
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gpinv
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Inverse Generalised Pareto distribution function.
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sumlogs
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Sum of vector where numbers are represented by their logarithms.
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logsumexp
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Sum of a vector where numbers are represented by their logarithms.
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References
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Aki Vehtari, Andrew Gelman and Jonah Gabry (2015). Efficient implementation
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of leave-one-out cross-validation and WAIC for evaluating fitted Bayesian
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models. arXiv preprint arXiv:1507.04544.
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### Acknowledgements
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Aki Vehtari and Andrew Gelman (2015). Pareto smoothed importance sampling.
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arXiv preprint arXiv:1507.02646.
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The Julia translation has been done by ... ( @alvaro1101 on Github ),
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### Corresponding R code
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The corresponding R code can be found in [R package called
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`loo'](https://github.com/stan-dev/loo) which is also available in CRAN.
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`loo`](https://github.com/stan-dev/loo) which is also available in CRAN.
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### References
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