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blapsr
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.blapsr . https://www.blapsr-project.org/ . blapsr citation info . blapsr results . blapsr.pdf . blapsr for approximate Bayesian inference . blapsr_0.6.1.tar.gz . blapsr_0.6.1.zip . blapsr_0.6.1.zip . blapsr_0.6.1.zip . blapsr_0.6.1.tgz . blapsr_0.6.1.tgz . blapsr_0.6.1.tgz . blapsr_0.6.1.tgz . blapsr_0.6.1.tgz . blapsr_0.6.1.tgz . blapsr archive . https://CRAN.R-project.org/package=blapsr .
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.
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
Functions, R codes and Examples using
the blapsr R package
Some associated functions: adjustPD . amlps . amlpsject . coxlps.baseline . coxlps . coxlpsject . cubicbs . curelps.extract . curelps . curelpsject . ecog1684 . gamlps . gamlpsject . kidneytran . laryngeal . lt . medicaid . melanoma . penaltyplot . plot.amlps . plot.coxlps . plot.curelps . plot.gamlps . print.amlps . print.coxlps . print.curelps . print.gamlps . simcuredata . simgamdata . simsurvdata . sm . snmatch . st .
Some associated R codes: S3_amlps_plot.R . S3_amlps_print.R . S3_coxlps_plot.R . S3_coxlps_print.R . S3_cubicbs_plot.R . S3_cubicbs_print.R . S3_curelps_plot.R . S3_curelps_print.R . S3_gamlps_plot.R . S3_gamlps_print.R . S3_simgam_plot.R . S3_simsurvdata_plot.R . S3_simsurvdata_print.R . adjustPD.R . amlps.R . amlps_object.R . coxlps.R . coxlps_baseline.R . coxlps_object.R . cubicbs.R . curelps.R . curelps_extract.R . curelps_object.R . ecog1684.R . gamlps.R . gamlps_object.R . kidneytran.R . laryngeal.R . lt.R . medicaid.R . melanoma.R . penaltyplot.R . simcuredata.R . simgamdata.R . simsurvdata.R . sm.R . snmatch.R . st.R . Full blapsr package functions and examples
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