Package: fmrireport 0.1.0

fmrireport: PDF Reporting for fMRI GLM Fits

Generates publication-oriented PDF reports for fitted fMRI GLM models from 'fmrireg'. Reports include model/design summaries, HRF plots, coefficient summaries, contrast brain maps, and peak coordinate tables.

Authors:Bradley Buchsbaum [aut, cre]

fmrireport_0.1.0.tar.gz
fmrireport_0.1.0.zip(r-4.7)fmrireport_0.1.0.zip(r-4.6)fmrireport_0.1.0.zip(r-4.5)
fmrireport_0.1.0.tgz(r-4.6-any)fmrireport_0.1.0.tgz(r-4.5-any)
fmrireport_0.1.0.tar.gz(r-4.7-any)fmrireport_0.1.0.tar.gz(r-4.6-any)
fmrireport_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fmrireport/json (API)

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

Bug tracker:https://github.com/bbuchsbaum/fmrireport/issues

Pkgdown/docs site:https://bbuchsbaum.github.io

On CRAN:

Conda:

2.60 score 3 exports 127 dependencies

Last updated from:aca110d4f3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK218
source / vignettesOK472
linux-release-x86_64OK188
macos-release-arm64OK98
macos-oldrel-arm64OK83
windows-develOK129
windows-releaseOK128
windows-oldrelOK111
wasm-releaseOK195

Exports:cluster_tableformat_cluster_ttreport

Dependencies:askpassassertthatbase64encBHbigassertrbigmemorybigmemory.sribigparallelrbigstatsrbitbit64bslibcachemclicodetoolscowplotcpp11crayoncrosstalkcurldata.tabledbscandeflistdelarrDEoptimRdigestdoParalleldplyrevaluatefarverfastmapffflockfmriARfmridatasetfmridesignfmrigdsfmrihrffmrilssfmriregfontawesomeforeachfsfurrrfuturefuture.applygenericsggplot2glmnetglobalsgluegtablehdf5rhighrhmshtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvmagrittrMASSMatrixmatrixStatsmemoisemimemmapneuroim2numDerivopensslotelparallellypatchworkpillarpkgconfigplotlypracmaprettyunitsprogresspromisespspurrrR6RANNrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRhpcBLASctlrlangrmarkdownrmioRNiftiRNiftyRegrobustbaseroptimRSpectraS7sassscalesshapestringistringrsurvivalsystibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunyaml

Publication-quality activation tables
Overview | Creating synthetic activation maps | Basic cluster detection | Controlling sub-peak detection | Sorting options | P-value computation | Flat data.frame output | MNI coordinate column names | Formatted tables with tinytable | Atlas labeling | Combining with overlay plots | Connectivity options | Edge cases | The cluster_table object | Summary
Rendered fromcluster-tables.Rmdusingknitr::rmarkdown

Last update: 2026-02-22
Started: 2026-02-22

Getting started with fmrireport
Why fmrireport? | Package overview | Quick example: cluster_table() | Flat table for rendering | MNI coordinate labels | Tinytable output | Full PDF report workflow | Controlling the activation table | Next steps
Rendered fromfmrireport.Rmdusingknitr::rmarkdown

Last update: 2026-02-22
Started: 2026-02-22