Package: bliss 1.1.1

bliss: Bayesian Functional Linear Regression with Sparse Step Functions

A method for the Bayesian functional linear regression model (scalar-on-function), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available. Grollemund P-M., Abraham C., Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.

Authors:Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr]

bliss_1.1.1.tar.gz
bliss_1.1.1.zip(r-4.7)bliss_1.1.1.zip(r-4.6)bliss_1.1.1.zip(r-4.5)
bliss_1.1.1.tgz(r-4.6-x86_64)bliss_1.1.1.tgz(r-4.6-arm64)bliss_1.1.1.tgz(r-4.5-x86_64)bliss_1.1.1.tgz(r-4.5-arm64)
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bliss_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bliss/json (API)

# Install 'bliss' in R:

install.packages('bliss', repos = c('https://pmgrollemund.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pmgrollemund/bliss/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

data1 - A list of data
param1 - A list of param for bliss model
res_bliss1 - A result of the BliSS method

On CRAN:

openblas cpp

4.58 score 2 stars 38 scripts 343 downloads 31 exports 21 dependencies

Last updated from:3ea5ce3cec. Checks:11 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	117
linux-devel-x86_64	ERROR	119
source / vignettes	OK	251
linux-release-arm64	ERROR	114
linux-release-x86_64	ERROR	103
macos-release-arm64	ERROR	104
macos-release-x86_64	ERROR	220
macos-oldrel-arm64	ERROR	117
macos-oldrel-x86_64	ERROR	305
windows-devel	ERROR	112
windows-release	ERROR	97
windows-oldrel	ERROR	130
wasm-release	OK	114

Exports:%between%BIC_model_choice Bliss_Gibbs_Sampler Bliss_Simulated_Annealing build_Fourier_basis change_grid choose_beta compute_beta_posterior_density compute_beta_sample compute_random_walk compute_starting_point_sann corr_matrix determine_intervals do_need_to_reduce dposterior fit_Bliss image_Bliss integrate_trapeze interpretation_plot lines_bliss pdexp post_treatment_bliss predict_bliss predict_bliss_distribution printbliss reduce_x sigmoid sigmoid_sharp sim sim_x support_estimation

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle MASS R6 RColorBrewer Rcpp RcppArmadillo RcppProgress rlang S7 scales vctrs viridisLite withr

Introduction to BLiSS method

Rendered fromBlissIntro.Rmdusingknitr::rmarkdown

Last update: 2024-05-09
Started: 2018-03-07

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
between	%between%
BIC_model_choice	BIC_model_choice
bliss: Bayesian functional Linear regression with Sparse Step functions	bliss-package bliss
Bliss_Gibbs_Sampler	Bliss_Gibbs_Sampler
Bliss_Simulated_Annealing	Bliss_Simulated_Annealing
build_Fourier_basis	build_Fourier_basis
change_grid	change_grid
choose_beta	choose_beta
compute_beta_posterior_density	compute_beta_posterior_density
compute_beta_sample	compute_beta_sample
compute_chains_info	compute_chains_info
compute_random_walk	compute_random_walk
compute_starting_point_sann	compute_starting_point_sann
corr_matrix	corr_matrix
a list of data	data1
determine_intervals	determine_intervals
do_need_to_reduce	do_need_to_reduce
dposterior	dposterior
fit_Bliss	fit_Bliss
image_Bliss	image_Bliss
integrate_trapeze	integrate_trapeze
interpretation_plot	interpretation_plot
lines_bliss	lines_bliss
A list of param for bliss model	param1
pdexp	pdexp
post_treatment_bliss	post_treatment_bliss
predict_bliss	predict_bliss
predict_bliss_distribution	predict_bliss_distribution
Print a bliss Object	printbliss
reduce_x	reduce_x
A result of the BliSS method	res_bliss1
sigmoid	sigmoid
sigmoid_sharp	sigmoid_sharp
sim	sim
sim_x	sim_x
support_estimation	support_estimation