R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
manymome
View on CRAN: Click
here
Download and install manymome package within the R console
Install from CRAN:
install.packages("manymome")
Install from Github:
library("remotes")
install_github("cran/manymome") Install by package version:
library("remotes")
install_version("manymome", "0.3.7") Attach the package and use:
library("manymome")
Maintained by
Shu Fai Cheung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-06
Latest Update: 2025-06-21
Description:
Computes indirect effects, conditional effects, and conditional
indirect effects in a structural equation model or path model after model
fitting, with no need to define any user parameters or label any paths in
the model syntax, using the approach presented in Cheung and Cheung
(2023) . Can also form bootstrap
confidence intervals by doing bootstrapping only once and reusing the
bootstrap estimates in all subsequent computations. Supports bootstrap
confidence intervals for standardized (partially or completely) indirect
effects, conditional effects, and conditional indirect effects as described
in Cheung (2009) and Cheung, Cheung, Lau, Hui,
and Vong (2022) . Model fitting can be done by
structural equation modeling using lavaan() or regression using lm().
How to cite:
Shu Fai Cheung (2022). manymome: Mediation, Moderation and Moderated-Mediation After Model Fitting. R package version 0.3.7, https://cran.r-project.org/web/packages/manymome. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-09-03 07:21), 0.1.4.0 (2022-09-06 08:20), 0.1.4.3 (2022-09-09 12:33), 0.1.6 (2022-11-06 16:00), 0.1.9 (2023-01-06 22:20), 0.1.10 (2023-06-08 17:30), 0.1.12 (2023-08-21 17:00), 0.1.13 (2023-10-07 00:40), 0.1.14 (2024-02-16 20:10), 0.2.1 (2024-05-07 16:10), 0.2.2 (2024-06-06 01:30), 0.2.3 (2024-09-25 15:20), 0.2.4 (2024-10-04 15:40), 0.2.5 (2024-12-08 17:10), 0.2.7 (2025-01-25 07:10), 0.2.8 (2025-05-03 12:20), 0.2.9 (2025-06-21 10:00), 0.3.1 (2025-08-22 07:40), 0.3.2 (2025-12-14 12:10), 0.3.3 (2026-01-08 07:11), 0.3.4 (2026-03-26 17:00), 0.3.5 (2026-06-01 21:10), 0.3.6 (2026-06-08 09:40)
Other packages that cited manymome R package
View manymome citation profile
Other R packages that manymome depends,
imports, suggests or enhances
Complete documentation for manymome
Functions, R codes and Examples using
the manymome R package
Some associated functions: all_indirect_paths . check_path . coef.cond_indirect_diff . coef.cond_indirect_effects . coef.delta_med . coef.indirect . coef.indirect_list . coef.indirect_proportion . coef.lm_from_lavaan . cond_indirect . cond_indirect_diff . confint.cond_indirect_diff . confint.cond_indirect_effects . confint.delta_med . confint.indirect . confint.indirect_list . data_med . data_med_complicated . data_med_mod_a . data_med_mod_ab . data_med_mod_ab1 . data_med_mod_b . data_med_mod_b_mod . data_med_mod_parallel . data_med_mod_parallel_cat . data_med_mod_serial . data_med_mod_serial_cat . data_med_mod_serial_parallel . data_med_mod_serial_parallel_cat . data_mod . data_mod2 . data_mod_cat . data_mome_demo . data_mome_demo_missing . data_parallel . data_sem . data_serial . data_serial_parallel . data_serial_parallel_latent . delta_med . do_boot . do_mc . factor2var . fit2boot_out . fit2mc_out . get_one_cond_indirect_effect . get_prod . index_of_mome . indirect_effects_from_list . indirect_i . indirect_proportion . lm2boot_out . lm2list . lm_from_lavaan_list . manymome-package . math_indirect . merge_mod_levels . mod_levels . modmed_x1m3w4y1 . plot.cond_indirect_effects . predict.lm_from_lavaan . predict.lm_from_lavaan_list . predict.lm_list . print.all_paths . print.boot_out . print.cond_indirect_diff . print.cond_indirect_effects . print.delta_med . print.indirect . print.indirect_list . print.indirect_proportion . print.lm_list . print.mc_out . simple_mediation_latent . subsetting_cond_indirect_effects . subsetting_wlevels . summary.lm_list . terms.lm_from_lavaan . total_indirect_effect .
Some associated R codes: add_na.R . all_indirect_paths.R . boot2est_lavaan.R . boot2est_lm.R . check_path.R . coef_cond_indirect_effects.R . coef_delta_med.R . coef_indirect.R . coef_indirect_list.R . cond_indirect.R . cond_indirect_diff.R . cond_indirect_effects_math.R . cond_indirect_effects_subset.R . confint_cond_indirect_effects.R . confint_delta_med.R . confint_indirect.R . confint_indirect_list.R . dat_2_and_3.R . dat_4.R . dat_5.R . dat_6.R . dat_modmed_x1m3w4y1.R . dat_mome_demo.R . dat_mome_demo_missing.R . dat_sem.R . dat_serial_parallel_latent.R . dat_simple_mediation_latent.R . delta_med.R . do_boot.R . do_mc.R . est2p.R . factor2var.R . find_product.R . get_b.R . get_indirect_effect.R . get_intercept.R . get_prod.R . index_mome.R . indirect.R . indirect_proportion.R . lav_data_used.R . lavaan2lm_list.R . lavaan_helpers.R . lm2list.R . lm2ptable.R . lm_helpers.R . manymome-package.R . mc2est_lavaan.R . merge_mod_levels.R . mod_levels.R . plotmod.R . plotmod_helpers.R . plotmod_helpers_2.R . predict_lm_list.R . print.paths.R . print_boot_out.R . print_cond_indirect_effect.R . print_delta_med.R . print_helpers.R . print_indirect.R . print_indirect_list.R . print_lm_list.R . print_mc_out.R . summary_lm_list.R . total_indirect_effect_list.R . wlevels_subset.R . Full manymome package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
skewlmm
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fernanda L. Schumacher (view profile)
ggTimeSeries
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Aditya Kothari (view profile)
plaqr
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Maidman (view profile)
blandr
Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Deepankar Datta (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
PairedData
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephane Champely (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
