Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method
Overview
An implementation of the parameter cascade method in Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.
- Add verval options
- Add automated tests for package functions
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK, 1 FAILURE2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 21
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Moved from alex-haixuw/pcode.
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Dependencies
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.9.4Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.9.32019-11-23 · diff ↗
- 0.9.22019-08-03 · diff ↗
- 0.9.12019-07-23
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-23
- Total releases
- 4 / 7 yrs
- License
- GPL · relicensed from MIT + file LICENSE in 0.9.3
- Minimum R
- ≥ 3.5.0
- Download size
- 392 KB
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