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'))

Peer review:

Datasets:

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

2.85 score 10 scripts 235 downloads 12 exports 89 dependencies

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

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-linuxOKOct 27 2024

Exports:atlastablebasisprodcoatimgdatamatmulticoatmulticompplotmultirecptestrbfuncrecsimbrainsizechange

Dependencies:abindbitopsbmpcaretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdownloaderdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatigraphimageripredisobanditeratorsjpegKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmsmamunsellnlmennetnumDerivoro.dicomoro.niftiparallellypillarpkgconfigplyrpngpROCprodlimprogressrproxypurrrR6RColorBrewerRcppreadbitmaprecipesreshape2rlangRNiftirpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttifftimechangetimeDatetzdbutf8vctrsviridisLitewithr

Introduction

Rendered fromb_Introduction.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Brain Imaging Data

Rendered fromc_Brain_Imaging_Data.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Common Statistical Approach

Rendered fromd_Common_Statistical_Approach.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Matrix Decomposition

Rendered frome_Multivariate_Approach_Matrix_Decomposition.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Prediction Model

Rendered fromf_Multivariate_Approach_Prediction_Model.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Multi-block Approach

Rendered fromg_Multi-block_Approach.Rmdusingknitr::rmarkdownon Oct 27 2024.

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

Overview for mand

Rendered froma_overview.Rmdusingknitr::rmarkdownon Oct 27 2024.

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