Other packages > Find by keyword >

templateICAr  

Estimate Brain Networks and Connectivity with ICA and Empirical Priors
View on CRAN: Click here


Download and install templateICAr package within the R console
Install from CRAN:
install.packages("templateICAr")

Install from Github:
library("remotes")
install_github("cran/templateICAr")

Install by package version:
library("remotes")
install_version("templateICAr", "0.10.0")



Attach the package and use:
library("templateICAr")
Maintained by
Amanda Mejia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-09
Latest Update: 2025-05-19
Description:
Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
How to cite:
Amanda Mejia (2022). templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors. R package version 0.10.0, https://cran.r-project.org/web/packages/templateICAr. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.3.1 (2022-03-09 22:10), 0.6.2 (2023-01-27 10:10), 0.6.4 (2024-01-17 16:50), 0.8.8 (2024-10-14 17:10), 0.9.1 (2024-11-21 17:50)
Other packages that cited templateICAr R package
View templateICAr citation profile
Other R packages that templateICAr depends, imports, suggests or enhances
Complete documentation for templateICAr
Functions, R codes and Examples using the templateICAr R package
Some associated functions: EM_FCtemplateICA . EM_templateICA . Gibbs_AS_posteriorCPP . INLA_check . IW_var . LL2_kappa . LL_SQUAREM . PCA . Q2_max_check . UpdateThetaSQUAREM_templateICA . UpdateTheta_FCtemplateICA . UpdateTheta_FCtemplateICAcpp . UpdateTheta_templateICA . activations . bdiag_m . center_Bcols_Param . check_req_ifti_pkg . compute_R_inv . compute_mu_s . detrend_DCT_Param . dual_reg . dual_reg2 . estimate_nu_matrix . estimate_template . estimate_template_FC . estimate_template_from_DR . estimate_template_from_DR_two . export_template . get_FORMAT . groupICA.cifti . loglik_kappa_est . make_Pmat . make_mask . make_mesh . make_mesh_2D . normA_Param . norm_BOLD . plot.tICA.cifti . plot.tICA.matrix . plot.tICA.nifti . plot.tICA_act.cifti . plot.template.cifti . plot.template.gifti . plot.template.matrix . plot.template.nifti . removebs_template . resample_template . rm_nuisIC . scale_Param . struct_template . summary.tICA.cifti . summary.tICA.matrix . summary.tICA.nifti . summary.tICA_act.cifti . summary.tICA_act.matrix . summary.template.cifti . summary.template.gifti . summary.template.matrix . summary.template.nifti . templateICA . varTol_Param . var_sq_err . 
Some associated R codes: EM_FCtemplateICA.R . EM_templateICA.R . INLA_check.R . RcppExports.R . activations.R . activations.methods.R . dim_reduce_PCA.R . dual_reg.R . estimate_template.R . estimate_template.methods.R . estimate_template.utils.R . export_template.R . groupICA.R . make_mesh.R . norm_BOLD.R . removebs_template.R . resample_template.R . rm_nuisIC.R . rox_args_docs.R . templateICA.R . templateICA.methods.R . templateICAr.R . utils.R .  Full templateICAr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA