nimbleSMC
0.11.1Sequential Monte Carlo Methods for 'nimble'
Overview
Includes five particle filtering algorithms for use with state space models in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter', 'Iterated Filtering 2', and 'Liu-West', as described in Michaud et al. (2021), <doi:10.18637/jss.v100.i03>. A full User Manual is available at <https://r-nimble.org>.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-06-0812 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code
Code & tests
Open call graph →Line coverage
–
Expression
–
Tests / Examples
–
Functions
3 0 exported
Complexity
8.3 avg / 10 max
Call network
3 nodes / 1 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
4 releases. Pick two to compare their code metrics; R releases are shown for context.
Package metadata
- First published
- 2020-11-09
- Total releases
- 4 / 6 yrs
- License
- BSD_3_clause + file LICENSE | GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet