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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", "0.6.1")



Attach the package and use:
library("blapsr")
Maintained by
Oswaldo Gressani
[Scholar Profile | Author Map]
First Published: 2020-07-13
Latest Update: 2022-08-20
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 0.6.1, https://cran.r-project.org/web/packages/blapsr. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.5.1 (2020-07-13 19:00), 0.5.5 (2020-10-19 11:50)
Other packages that cited blapsr R package
View blapsr citation profile
Other R packages that blapsr depends, imports, suggests or enhances
Complete documentation for blapsr
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