Introduction | Load packages | Simulating data | Specify the models for STAN | Fitting the models using rstan | Estimate log marginal likelihoods using bridgesampling | Estimate log marginal likelihoods using LoRaD | Export the sampled parameters | The null hypothesis | The alternative hypothesis | Literature Cited
Package: lorad 0.0.1.0
lorad: Lowest Radial Distance Method of Marginal Likelihood Estimation
Estimates marginal likelihood from a posterior sample using the method described in Wang et al. (2023) <doi:10.1093/sysbio/syad007>, which does not require evaluation of any additional points and requires only the log of the unnormalized posterior density for each sampled parameter vector.
Authors:
lorad_0.0.1.0.tar.gz
lorad_0.0.1.0.zip(r-4.7-any)lorad_0.0.1.0.zip(r-4.6-any)lorad_0.0.1.0.zip(r-4.5-any)
lorad_0.0.1.0.tgz(r-4.6-any)lorad_0.0.1.0.tgz(r-4.5-any)
lorad_0.0.1.0.tar.gz(r-4.7-any)lorad_0.0.1.0.tar.gz(r-4.6-any)
lorad_0.0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lorad/json (API)
| # Install 'lorad' in R: |
| install.packages('lorad', repos = c('https://amilkey1.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- gtrigsamples - Sequence data used in gtrig vignette
- k80samples - Sequence data used in k80 vignette
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:97d5408c6f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 140 | ||
| source / vignettes | OK | 317 | ||
| linux-release | OK | 135 | ||
| macos-release | OK | 172 | ||
| macos-oldrel | OK | 180 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 95 | ||
| windows-oldrel | OK | 133 | ||
| wasm-release | OK | 116 |
Exports:lorad_estimatelorad_summary
Dependencies:
bridge-sampling-vignette
Last update: 2023-12-18
Started: 2023-12-18
lorad-gtrig-vignette
Data | Model | Reading in Data | Column Specification | Computing an Estimate of the Marginal Likelihood | Literature Cited
Last update: 2023-12-18
Started: 2023-12-18
lorad-k80-vignette
Data | Model | Reading in Data | Column Specification | Computing an Estimate of the Marginal Likelihood | Literature Cited
Last update: 2023-12-18
Started: 2023-12-18
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sequence data used in gtrig vignette | gtrigsamples |
| Sequence data used in k80 vignette | k80samples |
| Calculate a sum on log scale | lorad_calc_log_sum |
| Calculates the LoRaD estimate of the marginal likelihood | lorad_estimate |
| Transforms unconstrained parameters to have the same location and scale | lorad_standardize |
| Transforms training sample using training sample means and standard deviations | lorad_standardize_estimation_sample |
| Summarize output from 'lorad_estimate()' | lorad_summary |
| Log (or log-ratio) transform parameters having constrained support | lorad_transform |