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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 15 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 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
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