CRAN/E | LongDat

LongDat

A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data

Installation

About

This tool takes longitudinal dataset as input and analyzes if there is significant change of the features over time (a proxy for treatments), while detects and controls for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, including count, proportion, binary, ordinal and continuous data. The output table contains p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.

Citation LongDat citation info
github.com/CCY-dev/LongDat
Bug report File report

Key Metrics

Version 1.1.2
R ≥ 4.0.0
Published 2023-07-17 255 days ago
Needs compilation? no
License GPL-2
CRAN checks LongDat results
Language en-US

Downloads

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Maintainer

Maintainer

Chia-Yu Chen

Chia-Yu.Chen@mdc-berlin.de

Authors

Chia-Yu Chen

aut / cre

Sofia Forslund

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

longdat_cont_tutorial
longdat_disc_tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LongDat archive

Depends

R ≥ 4.0.0

Imports

lme4
reshape2
glmmTMB
emmeans
bestNormalize
MASS
ggplot2
stringr
magrittr
tibble
dplyr
graphics
utils
stats
rlang
car
rstatix
effsize
tidyr
patchwork

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