Package: clustTMB 0.1.0
Andrea M. Havron
clustTMB: Spatio-Temporal Finite Mixture Model using 'TMB'
Fits a spatio-temporal finite mixture model using 'TMB'. Covariate, spatial and temporal random effects can be incorporated into the gating formula using multinomial logistic regression, the expert formula using a generalized linear mixed model framework, or both.
Authors:
clustTMB_0.1.0.tar.gz
clustTMB_0.1.0.zip(r-4.5)clustTMB_0.1.0.zip(r-4.4)clustTMB_0.1.0.zip(r-4.3)
clustTMB_0.1.0.tgz(r-4.4-x86_64)clustTMB_0.1.0.tgz(r-4.4-arm64)clustTMB_0.1.0.tgz(r-4.3-x86_64)clustTMB_0.1.0.tgz(r-4.3-arm64)
clustTMB_0.1.0.tar.gz(r-4.5-noble)clustTMB_0.1.0.tar.gz(r-4.4-noble)
clustTMB.pdf |clustTMB.html✨
clustTMB/json (API)
NEWS
| # Install 'clustTMB' in R: |
| install.packages('clustTMB', repos = c('https://andrea-havron.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andrea-havron/clusttmb/issues
Last updated 1 months agofrom:3ed9476b73. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win-x86_64 | OK | Nov 14 2024 |
| R-4.5-linux-x86_64 | OK | Nov 14 2024 |
| R-4.4-win-x86_64 | OK | Nov 14 2024 |
| R-4.4-mac-x86_64 | OK | Nov 14 2024 |
| R-4.4-mac-aarch64 | OK | Nov 14 2024 |
| R-4.3-win-x86_64 | OK | Nov 14 2024 |
| R-4.3-mac-x86_64 | OK | Nov 14 2024 |
| R-4.3-mac-aarch64 | OK | Nov 14 2024 |
Exports:clustTMBfixStruct.namesinit.optionslognormalmkInitClassparm.lookuprun.optionsskewnesssplitFormtweedie
Dependencies:BHbootclassclassIntcliclusterclustMixTypecolorspacecombinatDBIdplyre1071fansifmeshergenericsglueKernSmoothlatticelifecyclelme4lmtestmagrittrMASSMatrixmatrixStatsmclustminqaMoEClustmvnfastnlmenloptrnnetpillarpkgconfigproxyR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangs2sftibbletidyselectTMBunitsutf8vcdvctrswithrwkzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a finite mixture model using TMB | clustTMB |
| Get fixed-effect coefficients | coef.clustTMB |
| Extract the AIC of a clustTMB model | extractAIC.clustTMB |
| Fixed Covariance Structure names | fixStruct.names |
| Initialization options with S3 classes | init.options |
| Extract the log likelihood of a clustTMB model | logLik.clustTMB |
| Lognormal family and link specification | lognormal |
| Apply classification method dependent on init.method | mkInitClass |
| Parameter Information | parm.lookup |
| Print brief model summary | print.clustTMB |
| Run Options | run.options |
| Calculates skewness | skewness |
| Split formula containing special random effect terms | splitForm |
| summary tables of model parameters | summary.clustTMB |
| Tweedie family and link specification | tweedie |
