Package: seminr 2.5.0

Nicholas Patrick Danks

seminr: Building and Estimating Structural Equation Models

A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).

Authors:Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
seminr/json (API)

# Install 'seminr' in R:

install.packages('seminr', repos = c('https://sem-in-r.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sem-in-r/seminr/issues

Datasets:

corp_rep_data - Measurement Instrument for the Corporate Reputation Model
corp_rep_data2 - A Second Measurement Instrument for the Corporate Reputation Model
influencer_data - Measurement Instrument for the Influencer Model
mobi - Measurement Instrument for the Mobile Phone Industry

On CRAN:

common-factors composites construct pls-models

9.84 score 77 stars 1 packages 500 scripts 4.0k downloads 80 exports 73 dependencies

Last updated from:76d32112b4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	314
source / vignettes	OK	235
linux-release-x86_64	OK	303
macos-release-arm64	OK	196
macos-oldrel-arm64	OK	172
windows-devel	OK	264
windows-release	OK	273
windows-oldrel	OK	277
wasm-release	OK	189

Exports:all_composites all_factors all_non_interactions as.reflective associations boot_paths_df bootstrap_model browse_plot composite compute_itcriteria_weights construct_items construct_mode construct_name construct_names construct_type constructs correlation_weights csem2seminr dot_graph dot_graph_htmt edge_template_default edge_template_minimal estimate_cbsem estimate_cfa estimate_lavaan_ten_berge estimate_pls estimate_pls_mga fSquared get_theme_doc higher_composite higher_reflective interaction_term is_only_endogenous item_errors last_seminr_plot mean_replacement mode_A mode_B mode_plsc multi_items node_endo_template_default node_exo_template_default orthogonal path_factorial path_weighting paths plot_htmt plot_interaction plot_scores PLSc predict_DA predict_EA predict_pls product_indicator quadratic_term reflective regression_weights relationships report_missing report_paths rerun rho_A rhoC_AVE save_plot seminr_theme_academic seminr_theme_create seminr_theme_dark seminr_theme_default seminr_theme_get seminr_theme_set seminr_theme_smart set_last_seminr_plot simplePLS single_item slope_analysis specific_effect_significance specify_model total_indirect_ci two_stage unit_weights

Dependencies:base64enc bit bit64 bslib cachem cli clipr cpp11 crayon curl DiagrammeR DiagrammeRsvg digest dplyr evaluate farver fastmap fontawesome fs generics glue highr hms htmltools htmlwidgets igraph jquerylib jsonlite knitr labeling lattice lavaan lifecycle magrittr MASS Matrix memoise mime mnormt numDeriv pbivnorm pillar pkgconfig prettyunits progress purrr quadprog R6 rappdirs RColorBrewer Rcpp readr rlang rmarkdown rstudioapi sass scales stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 V8 vctrs viridisLite visNetwork vroom withr xfun yaml

SEMinR

Rendered fromSEMinR.Rmdusingknitr::rmarkdown

Last update: 2026-05-25
Started: 2016-10-11

Help page	Topics
Get all composite constructs in a model	all_composites
Get all common-factor (reflective) constructs in a model	all_factors
Select non-interaction constructs from a measurement model	all_non_interactions
Converts all contructs of a measurement model, or just a single construct into reflective factors.	as.reflective
Converts a contruct of a measurement model into a reflective factor.	as.reflective.construct
Converts interaction of a measurement model into a reflective factors.	as.reflective.interaction
Converts all contructs of a measurement model, or just a single construct into reflective factors.	as.reflective.measurement_model
Specifies inter-item covariances that should be supplied to CBSEM estimation ('estimate_cbsem') or CFA estimation ('estimate_cfa')	associations
Return all path bootstraps as a long dataframe. Columns of the dataframes are specified paths and rows are the estimated coefficients for the paths at each bootstrap iteration.	boot_paths_df
seminr bootstrap_model Function	bootstrap_model
Open Edotor graphViz Website with the preloaded in the Browser	browse_plot
Composite construct measurement model specification	composite
Function to calculate Akaike weights for IT Criteria	compute_itcriteria_weights
Get indicator item names for a construct	construct_items
Get the measurement mode of a construct	construct_mode
Get the name of a single construct specification	construct_name
Get construct names from a model or model component	construct_names
Get the user-facing measurement type of a construct	construct_type
Measurement functions	constructs
Returns R-sq of a dv given correlation matrix of ivs, dv cors <- cbsem_summary$descriptives$correlations$constructs cor_rsq(cors, dv_name = "Value", iv_names = c("Image", "Quality"))	cor_rsq
Measurement Instrument for the Corporate Reputation Model	corp_rep_data
A Second Measurement Instrument for the Corporate Reputation Model	corp_rep_data2
seminr csem2seminr() function	csem2seminr
Cross-tabulates columns of a dataframe into a matrix with NAs for unspecified pairs	df_xtab_matrix
Generates the dot code for the measurement model	dot_component_mm
Generate a dot graph from various SEMinR models	dot_graph dot_graph.boot_seminr_model dot_graph.cbsem_model dot_graph.cfa_model dot_graph.measurement_model dot_graph.pls_model dot_graph.specified_model dot_graph.structural_model
Creates a dot string with a network graph of constructs based on HTMT measures	dot_graph_htmt
generates the dot code for a subgraph (per construct)	dot_subcomponent_mm
The default template for labeling bootstrapped edges	edge_template_default
A minimal template for labeling bootstrapped edges that only shows the bootstrapped mean value	edge_template_minimal
Wrap a text in single quotes	esc_node
seminr estimate_cbsem() function	estimate_cbsem
seminr estimate_cfa() function	estimate_cfa
seminr estimate_lavaan_ten_berge() function	estimate_lavaan_ten_berge
seminr estimate_pls() function	estimate_pls
Performs PLS-MGA to report significance of path differences between two subgroups of data	estimate_pls_mga
extract bootstrapped statistics from an edge using a row_index	extract_bootstrapped_values
Helper function that applies formatting to each construct	extract_htmt_nodes
extracts the constructs and their types from the model	extract_mm_coding
gets the mm_edge value (loading, weight) for bootstrapped and regular models	extract_mm_edge_value
extract mm edges from model for a given index of all constructs	extract_mm_edges
gets the individual nodes and applies formatting	extract_mm_nodes
Helper function that applies formatting to each construct	extract_sm_nodes
Helps to render a node label for endogenous variables	format_endo_node_label
Helps to render a node label for exogenous variables	format_exo_node_label
seminr fSquared Function	fSquared
Gets the optimal size for construct elements in the plot	get_construct_element_size
Gets the optimal size for manifest elements in the plot	get_manifest_element_size
individual styles for measurement model edges	get_mm_edge_style
Get a string to insert into a node specification using the themed shape	get_mm_node_shape
get global measurement model node style	get_mm_node_style
Get a string to insert into a node specification using the themed shape	get_sm_node_shape
Formats the style of the structural model edges	get_value_dependent_mm_edge_style
Formats the style of the structural model edges	get_value_dependent_sm_edge_style
higher_composite	higher_composite
higher_reflective	higher_reflective
Measurement Instrument for the Influencer Model	influencer_data
Interaction function	interaction_term
Tests whether the i_th construct is endogenous or not	is_only_endogenous
Specifies pair of items, or sets of items, that should covary. Used to specify error covariances for 'associations'.	item_errors
Function to clean data of omitted values by mean replacement	mean_replacement
Measurement Instrument for the Mobile Phone Industry	mobi
Outer weighting scheme functions to estimate construct weighting.	correlation_weights mode_A mode_A,
Outer weighting scheme functions to estimate construct weighting.	mode_B mode_B, regression_weights
Outer weighting scheme functions to estimate construct weighting.	mode_plsc
Multi-items measurement model specification	multi_items
The default template for labeling endogenous construct nodes	node_endo_template_default
The default template for labeling exogenous construct nodes	node_exo_template_default
'orthogonal' creates interaction measurement items by using the orthogonalized approach wherein	orthogonal
Inner weighting scheme functions to estimate inner paths matrix	path_factorial
Inner weighting scheme functions to estimate inner paths matrix	path_weighting
Plots a network graph of constructs based on HTMT measures	plot_htmt
Function for plotting interaction plot for moderated PLS or CBSEM model	plot_interaction
Function for plotting the measurement model reliability metrics of a PLS model	plot.reliability_table
Plot various SEMinR models	plot.seminr_model
seminr PLSc Function	PLSc
Predictive Scheme	predict_DA
Predictive Scheme	predict_EA
Predict_pls performs either k-fold or LOOCV on a SEMinR PLS model and generates predictions	predict_pls
Predict method for SEMinR PLS models	predict.seminr_model
Summary function for PLS-MGA	print.seminr_pls_mga
'product_indicator' creates interaction measurement items by scaled product indicator approach.	product_indicator
Quadratic term function	quadratic_term
Reflective construct measurement model specification	reflective
Structural specification functions for seminr package	paths relationships
Function to report how missing data was handled and how much was missing.	report_missing
Functions for reporting the Path Coefficients and R2 of endogenous constructs and for generating a scatterplot matrix of construct scores.	plot_scores report_paths
Reruns a previously specified seminr model/analysis	rerun
Reruns a previously specified seminr PLS model	rerun.pls_model
seminr rho_A Function	rho_A
seminr rhoC_AVE() function	rhoC_AVE
Saves a SEMinR model plot to file	save_plot
A theme function for a basic b/w theme	seminr_theme_academic
Create a theme for a seminr graph visualization	seminr_theme_create
The theme function for an inverted theme on black background.	seminr_theme_dark
Get and set the active theme	seminr_theme_get seminr_theme_set
A colored theme	seminr_theme_default seminr_theme_smart
seminr simplePLS Function	simplePLS
Single-item measurement model specification	single_item
Function for plotting a slope analysis for an interaction in a PLS model	slope_analysis
seminr specific effect significance function	specific_effect_significance
seminr specify_model() function	specify_model
Standardize (scale) a matrix/df and report interpretable errors	standardize_safely
seminr total indirect confidence intervals function	total_indirect_ci
Creates an interaction measurement item using a two-stage approach. The two-stage procedure for both PLS and CBSEM models estimates construct scores in the first stage, and uses them to produce a single-item product item for the interaction term in the second stage. For a PLS model, the first stage uses PLS to compute construct scores. For a CBSEM model, the first stage uses a CFA to produce ten Berge construct scores.	two_stage
Outer weighting scheme functions to estimate construct weighting.	unit_weights

Package: seminr 2.5.0

seminr: Building and Estimating Structural Equation Models

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