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DLSSM
View on CRAN: Click
here
Download and install DLSSM package within the R console
Install from CRAN:
install.packages("DLSSM")
Install from Github:
library("remotes")
install_github("cran/DLSSM") Install by package version:
library("remotes")
install_version("DLSSM", "1.1.1") Attach the package and use:
library("DLSSM")
Maintained by
Jiakun Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-13
Latest Update: 2025-05-22
Description:
Implements the dynamic logistic state space model for binary outcome data proposed by Jiang et al. (2021) .
It provides a computationally efficient way to update the prediction whenever new data becomes available.
It allows for both time-varying and time-invariant coefficients, and use cubic smoothing splines to model varying coefficients.
The smoothing parameters are objectively chosen by maximum likelihood. The model is updated using batch data accumulated at pre-specified time intervals.
How to cite:
Jiakun Jiang (2022). DLSSM: Dynamic Logistic State Space Prediction Model. R package version 1.1.1, https://cran.r-project.org/web/packages/DLSSM. Accessed 30 Aug. 2026.
Previous versions and publish date:
Other packages that cited DLSSM R package
View DLSSM citation profile
Other R packages that DLSSM depends,
imports, suggests or enhances
Complete documentation for DLSSM
Functions, R codes and Examples using
the DLSSM R package
Some associated functions: Batched . DLSSM.init . DLSSM . DLSSM.plot . DLSSM.valid . car.insur .
Some associated R codes: DLSSM.R . data.R . Full DLSSM package functions and examples
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