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

# 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 288 downloads 10 exports 57 dependencies

Last updated from:3ed9476b73. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	590
linux-devel-x86_64	OK	646
source / vignettes	OK	439
linux-release-arm64	OK	582
linux-release-x86_64	OK	632
macos-release-arm64	OK	618
macos-release-x86_64	OK	1236
macos-oldrel-arm64	OK	645
macos-oldrel-x86_64	OK	1483
windows-devel-arm64	OK	561
windows-devel-x86_64	OK	755
windows-release-arm64	OK	574
windows-release-x86_64	OK	691
windows-oldrel-x86_64	OK	650
wasm-release	OK	214

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

Meuse Data Example

Rendered fromSpatialExMeuseData.Rmdusingknitr::rmarkdown

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

Covariance Structure

Random Effect Covariance Matrices | Spatial GMRF | Spatial Example | Gating Network Examples

Rendered fromCovarianceStructure.Rmdusingknitr::rmarkdown

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

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