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:Andrea M. Havron [aut, cre, cph]

clustTMB_0.1.0.tar.gz
clustTMB_0.1.0.zip(r-4.7)clustTMB_0.1.0.zip(r-4.6)clustTMB_0.1.0.zip(r-4.5)
clustTMB_0.1.0.tgz(r-4.6-x86_64)clustTMB_0.1.0.tgz(r-4.6-arm64)clustTMB_0.1.0.tgz(r-4.5-x86_64)clustTMB_0.1.0.tgz(r-4.5-arm64)
clustTMB_0.1.0.tar.gz(r-4.6-x86_64)clustTMB_0.1.0.tar.gz(r-4.7-arm64)clustTMB_0.1.0.tar.gz(r-4.7-x86_64)clustTMB_0.1.0.tar.gz(r-4.6-arm64)
clustTMB_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Pkgdown/docs site:https://andrea-havron.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

4.70 score 5 stars 9 scripts 141 downloads 10 exports 57 dependencies

Last updated from:3ed9476b73. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	635
linux-devel-x86_64	OK	860
source / vignettes	OK	409
linux-release-arm64	OK	637
linux-release-x86_64	FAIL	1438
macos-release-arm64	OK	652
macos-release-x86_64	OK	1101
macos-oldrel-arm64	OK	540
macos-oldrel-x86_64	OK	1261
windows-devel	OK	863
windows-release	OK	664
windows-oldrel	OK	798
wasm-release	OK	227

Exports:clustTMB fixStruct.names init.options lognormal mkInitClass parm.lookup run.options skewness splitForm tweedie

Dependencies:BH boot class classInt cli cluster clustMixType colorspace combinat DBI dplyr e1071 fmesher generics glue KernSmooth lattice lifecycle lme4 lmtest magrittr MASS Matrix matrixStats mclust minqa MoEClust mvnfast nlme nloptr nnet pillar pkgconfig proxy R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang s2 sf sp splancs tibble tidyselect TMB units utf8 vcd vctrs withr wk zoo

Covariance Structure

Rendered fromCovarianceStructure.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2024-09-05
Started: 2021-07-22

Meuse Data Example

Rendered fromSpatialExMeuseData.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2024-10-09
Started: 2022-09-23

Citation

Development and contributors

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