Package: msBP 1.4-1
Antonio Canale
msBP: Multiscale Bernstein Polynomials for Densities
Performs Bayesian nonparametric multiscale density estimation and multiscale testing of group differences with multiscale Bernstein polynomials (msBP) mixtures as in Canale and Dunson (2016).
Authors:
msBP_1.4-1.tar.gz
msBP_1.4-1.tar.gz(r-4.5-noble)msBP_1.4-1.tar.gz(r-4.4-noble)
msBP_1.4-1.tgz(r-4.4-emscripten)msBP_1.4-1.tgz(r-4.3-emscripten)
msBP.pdf |msBP.html✨
msBP/json (API)
# Install 'msBP' in R: |
install.packages('msBP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- galaxy - Galaxy velocities
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:0435f096cb. Checks:ERROR: 1 OK: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Nov 16 2024 |
R-4.5-linux-x86_64 | OK | Nov 16 2024 |
Exports:msBP.cdfmsBP.compute.probmsBP.GibbsmsBP.leaf.allocationmsBP.marginalBetamsBP.nestingmsBP.nrvTreesmsBP.pdfmsBP.postClustermsBP.posteriorH0msBP.rsamplemsBP.rtreemsBP.testmsBP.treetree2vecvec2tree
Dependencies:
R packages: LaTeX vignettes
Rendered frommsbpjss.ltx
usingR.rsp::tex
on Nov 16 2024.Last update: 2018-12-13
Started: 2018-12-13
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayesian nonparametric density estimation via Multiscale Bernstein Polynomials (msBP) | msBP-package msBP |
Galaxy velocities | galaxy |
Compute binary tree of probabilities | msBP.compute.prob |
Gibbs sampling for density estimation for msBP model | msBP.Gibbs |
Nesting of the sample through the tree | msBP.nrvTrees |
Random probability density function and random cumulative distribution function from a msBP | msBP.cdf msBP.pdf |
Posterior cluster allocation | msBP.postCluster |
Random numbers from a random msBP densty | msBP.rsample |
Random msBP tree | msBP.rtree |
Multiscale testing of group differences | msBP.test |
Creating an 'msBPTree' | msBP.tree |
Conversions between tree and vector | tree2vec vec2tree |