kernstadapt
0.4.0Adaptive Kernel Estimators for Point Process Intensities on Linear Networks
Overview
Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). doi:10.48550/arXiv.2208.12026.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 93%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 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
- 0.4.0Latest
- unarchivedReturned to CRAN2024-09-26
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- 0.0.22022-11-15 · diff ↗
- 0.0.12022-09-20
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-09-20
- Total releases
- 3 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 779 KB / 4 files
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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