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Table 2 R packages for data analysis

From: A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis

Step

Method

R package

Reference

Missing data pattern

Graphically

VIM

[80]

MI approaches for missing data imputation

JM-FJ

mitml

[19]

JM-MLMM

  

JM-SMC

jomo

[18]

JM-SMC-het

hmi

hmi

[23]

JointAI

JointAI

[24]

FCS-LMM

mice

[8]

FCS-LMM-het

FCS-LMM-LN

miceadds

[20]

FCS-LMM-LN-het

FCS-MLMM-LN

micemd

[22]

SI approaches for missing data imputation

Cross Mean

longitudinalData

[25]

Cross Median

Cross Hot Deck

Traj Mean

Traj Median

Traj Hot Deck

LOCF

NOCB

Interpolation LOCF

Interpolation Global

Interpolation Local

Interpolation Bisector

Copy mean LOCF

Copy mean global

Copy mean local

Copy mean bisector

Fitting parametric longitudinal model

Linear mixed effects model

lme4

[81]

Fitting non-parametric longitudinal model

Longitudinal regression tree

REEMtree

[82]

Missing data simulation

genMiss function

simstudy

[83]