Package: mand 2.0

Atsushi Kawaguchi

mand: Multivariate Analysis for Neuroimaging Data

Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. The functions used in the book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13: 978-0367255329) are contained.

Authors:Atsushi Kawaguchi [aut, cre]

mand_2.0.tar.gz
mand_2.0.tar.gz(r-4.5-noble)mand_2.0.tar.gz(r-4.4-noble)
mand_2.0.tgz(r-4.4-emscripten)mand_2.0.tgz(r-4.3-emscripten)
mand.pdf |mand.html✨
mand/json (API)

# Install 'mand' in R:
install.packages('mand', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.85 score 246 downloads 12 exports 89 dependencies

Last updated 1 years agofrom:bff69b9819. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-linuxOKJan 25 2025

Exports:atlastablebasisprodcoatimgdatamatmulticoatmulticompplotmultirecptestrbfuncrecsimbrainsizechange

Dependencies:abindbitopsbmpcaretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdownloaderdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatigraphimageripredisobanditeratorsjpegKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmsmamunsellnlmennetnumDerivoro.dicomoro.niftiparallellypillarpkgconfigplyrpngpROCprodlimprogressrproxypurrrR6RColorBrewerRcppreadbitmaprecipesreshape2rlangRNiftirpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttifftimechangetimeDatetzdbutf8vctrsviridisLitewithr

Introduction

Rendered fromb_Introduction.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2021-06-29
Started: 2021-06-29

Brain Imaging Data

Rendered fromc_Brain_Imaging_Data.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2021-06-29
Started: 2021-06-29

Common Statistical Approach

Rendered fromd_Common_Statistical_Approach.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2021-06-29
Started: 2021-06-29

Matrix Decomposition

Rendered frome_Multivariate_Approach_Matrix_Decomposition.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2022-05-24
Started: 2021-06-29

Prediction Model

Rendered fromf_Multivariate_Approach_Prediction_Model.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2021-06-29
Started: 2021-06-29

Multi-block Approach

Rendered fromg_Multi-block_Approach.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2021-06-29
Started: 2021-06-29

Overview for mand

Rendered froma_overview.Rmdusingknitr::rmarkdownon Jan 25 2025.

Last update: 2023-09-12
Started: 2021-06-29