pGPx
0.1.4Pseudo-Realizations for Gaussian Process Excursions
Overview
Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) doi:10.1137/141000749. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (https://cs.brown.edu/people/pfelzens/dt/index.html).
Install
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- NOTE2026-04-220 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-180 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
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- Documented parameters
- 100%
- Return-value docs
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- References docs
- 100%
Downloads
Dependencies
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.4Latest
- 0.1.32023-04-27 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.1.22022-09-08 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.12018-08-20 · diff ↗
- 0.1.02018-08-17
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-08-17
- Total releases
- 5 / 8 yrs
- License
- GPL-3 OSI
- Download size
- 29 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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