Showing 5 of total 5 results (show query)
caetanods
ratematrix:Bayesian Estimation of the Evolutionary Rate Matrix
The Evolutionary Rate Matrix is a variance-covariance matrix which describes both the rates of trait evolution and the evolutionary correlation among multiple traits. This package has functions to estimate these parameters using Bayesian MCMC. It is possible to test if the pattern of evolutionary correlations among traits has changed between predictive regimes painted along the branches of the phylogenetic tree. Regimes can be created a priori or estimated as part of the MCMC under a joint estimation approach. The package has functions to run MCMC chains, plot results, evaluate convergence, and summarize posterior distributions.
Maintained by Daniel Caetano. Last updated 2 years ago.
10 stars 5.91 score 18 scripts 1 dependents
volkerschmid
bamp:Bayesian Age-Period-Cohort Modeling and Prediction
Bayesian Age-Period-Cohort Modeling and Prediction using efficient Markov Chain Monte Carlo Methods. This is the R version of the previous BAMP software as described in Volker Schmid and Leonhard Held (2007) <DOI:10.18637/jss.v021.i08> Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.
Maintained by Volker Schmid. Last updated 3 days ago.
9 stars 5.56 score 9 scripts
aniebee
ClusterVAR:Fitting Latent Class Vector-Autoregressive (VAR) Models
Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.
Maintained by Anja Ernst. Last updated 3 months ago.
clusteringlatent-class-modelmultivariate-timeseriestime-series-analysisvector-autoregressionvector-autoregression-models
2 stars 4.88 score 1 scripts
kwb-r
kwbGompitz:Interface to GompitZ Tool for Modelling the Degradation of Sewer Pipelines
Functions enabling the writing of GompitZ input files, running of GompitZ Tools (gompcal.exe, gompred.exe) and reading of GompitZ output files.
Maintained by Hauke Sonnenberg. Last updated 3 years ago.
modellingproject-semasewer-classificationcpp
1.70 score 1 scripts
cran
ptycho:Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a prior that combines information across responses and one that combines information across covariates, as well as a standard spike and slab prior for comparison. An MCMC samples from the marginal posterior distribution for the 0-1 variables indicating if each covariate belongs to the model for each response.
Maintained by Laurel Stell. Last updated 9 years ago.
1.00 score