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blapsr  

Bayesian Inference with Laplace Approximations and P-Splines
View on CRAN: Click here


Download and install blapsr package within the R console
Install from CRAN:
install.packages("blapsr")

Install from Github:
library("remotes")
install_github("cran/blapsr")

Install by package version:
library("remotes")
install_version("blapsr", "0.7.0")



Attach the package and use:
library("blapsr")
Maintained by
Oswaldo Gressani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-13
Latest Update: 2025-09-01
Description:
Laplace approximations and penalized B-splines are combined for fast Bayesian inference in latent Gaussian models. The routines can be used to fit survival models, especially proportional hazards and promotion time cure models (Gressani, O. and Lambert, P. (2018) ). The Laplace-P-spline methodology can also be implemented for inference in (generalized) additive models (Gressani, O. and Lambert, P. (2021) ). See the associated website for more information and examples.
How to cite:
Oswaldo Gressani (2020). blapsr: Bayesian Inference with Laplace Approximations and P-Splines. R package version 0.7.0, https://cran.r-project.org/web/packages/blapsr. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.5.1 (2020-07-13 19:00), 0.5.5 (2020-10-19 11:50), 0.6.1 (2022-08-20 15:10)
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Complete documentation for blapsr
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