Showing 3 of total 3 results (show query)
modeloriented
auditor:Model Audit - Verification, Validation, and Error Analysis
Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Maintained by Alicja Gosiewska. Last updated 1 years ago.
classificationerror-analysisexplainable-artificial-intelligencemachine-learningmodel-validationregression-modelsresidualsxai
58 stars 8.76 score 94 scripts 2 dependents
fbartos
RoBSA:Robust Bayesian Survival Analysis
A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
Maintained by František Bartoš. Last updated 5 days ago.
bayesianmodel-averagingsurvival-analysisjagscpp
7 stars 3.54 score 1 scripts
tonisusin
coda4microbiome:Compositional Data Analysis for Microbiome Studies
Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
Maintained by Toni Susin. Last updated 9 months ago.
2 stars 1.60 score 20 scripts