unkyunglee/HDChangePoint: Estimating disease onset from change points of markers measured with error
The parametric approach uses a nonlinear mixed effects model, which estimates model parameters and inflection points at the same time. The inflection points treat as random effects, which can be estimated using the best linear unbiased predictors. The multi-stage nonparametric approach is designed to estimate individual longitudinal trajectories and and their inflection points iteratively. To do this, we develop an iterative algorithm.
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Package details |
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| Author | c(person(given = "Unkyung", family = "Lee", role = c("aut", "cre"), email = "unkyunglee@stat.tamu.edu"), person(given = "Tanya", family = "Garcia", role = c("aut", "cre"), email = "tpgarcia@stat.tamu.edu"), |
| Maintainer | UnkyungLee <unkyunglee@stat.tamu.edu> |
| License | GPL-2 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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