Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://cran.r-project.org/web/packages/rms/../cluster/../clustTMB/readme/README.html below:

README

clustTMB fits finite mixture models that incorporate both covariate and random effect structure within either the gating, the expert, or both components of the model. The clustTMB model is built in Template Model Builder (TMB) and implemented in R using formula syntax similar to other finite mixture modeling packages such as mclust. The TMB structure of the finite mixture model allows for fast computations of random effects by using the Laplace Approximation to calculate the marginal likelihood of fixed effects after integrating out random components. Spatial random effects are estimated through approximations of the Gaussian Markov Random Fields via the FEM-SPDE method introduced by INLA.

You can install the development version from GitHub with:

remotes::install_github("Andrea-Havron/clustTMB", build_vignettes = TRUE)

A basic example is illustrated with the faithful dataset:

library(clustTMB)
data("faithful")
m1 <- clustTMB(response = faithful, covariance.structure = "VVV")

For more detailed examples, see vignettes:

• Available Covariance Structures
• Spatial Example

## Not Run

# install.packages("utils")
utils::browseVignettes("clustTMB")

## End Not Run

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4