Package: semlbci 0.11.2

semlbci: Likelihood-Based Confidence Interval in Structural Equation Models

Forms likelihood-based confidence intervals (LBCIs) for parameters in structural equation modeling, introduced in Cheung and Pesigan (2023) <doi:10.1080/10705511.2023.2183860>. Currently implements the algorithm illustrated by Pek and Wu (2018) <doi:10.1037/met0000163>, and supports the robust LBCI proposed by Falk (2018) <doi:10.1080/10705511.2017.1367254>.

Authors:Shu Fai Cheung [aut, cre], Ivan Jacob Agaloos Pesigan [ctb]

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semlbci.pdf |semlbci.html✨
semlbci/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/sfcheung/semlbci/issues

Datasets:

On CRAN:

confidence-intervalslavaanlikelihood-basedprofile-likelihoodstructural-equation-modeling

5.91 score 1 stars 181 scripts 500 downloads 20 exports 40 dependencies

Last updated 6 months agofrom:e8b24e2050. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:check_sem_outci_bound_urci_bound_ur_ici_bound_wn_ici_i_oneci_ordergen_est_igen_sem_out_userpgen_userpget_ciboundget_cibound_status_not_0loglike_compareloglike_pointloglike_quad_pointloglike_quad_rangeloglike_rangenearby_levelssemlbciset_constraintsyntax_to_i

Dependencies:callrclicolorspacefansifarverggplot2ggrepelgluegtableisobandlabelinglatticelavaanlifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmenloptrnumDerivpbapplypbivnormpillarpkgconfigprocessxpsquadprogR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr

Get Started

Shu Fai Cheung

Rendered fromsemlbci.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-06-01
Started: 2022-05-17

Log Profile Likelihood of a Parameter

Shu Fai Cheung

Rendered fromloglike.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-06-01
Started: 2023-03-03

Searching for One Bound

Shu Fai Cheung

Rendered fromtechnical_searching_one_bound.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2023-05-04
Started: 2023-04-02

Readme and manuals

Help Manual

Help pageTopics
Dataset (CFA, Two Factors, One Standardized Error Variance Close to Zero)cfa_evar_near_zero
Dataset (CFA, Two Factors, Six Variables)cfa_two_factors
Dataset (CFA, Two Factors, Six Variables, Two Groups)cfa_two_factors_mg
Pre-analysis Check For 'semlbci'check_sem_out
Find a Likelihood-Based Confidence Bound By Root Findingci_bound_ur gen_est_i
Likelihood-Based Confidence Bound By Root Findingci_bound_ur_i
Likelihood-based Confidence Bound By Wu-Neale-2012ci_bound_wn_i
Likelihood-Based Confidence Bound for One Parameterci_i_one
Check The Order of Bounds in a List of 'semlbci' Objectsci_order print.ci_order
Confidence Intervals for a 'smelbci' Objectconfint.semlbci
Create a Wrapper To Be Used in 'lavaan' Modelsgen_sem_out_userp gen_userp
A 'cibound' Output From a 'semlbci' Objectget_cibound get_cibound_status_not_0
Log Profile likelihood of a Parameterloglikelihood loglike_compare loglike_point loglike_quad_point loglike_quad_range loglike_range
Dataset (SEM, Three Factors, Nine Variables, Mediation)mediation_latent
Dataset (SEM, Three Factors, Nine Variables, Mediation, Skewed)mediation_latent_skewed
LBCI Bounds of Nearby Levels of Confidencenearby_levels
Plot the Output of 'loglike_compare()'plot.loglike_compare
Print Method of a 'cibound'-class Objectprint.cibound
Print Method of a 'semlbci' Objectprint.semlbci
Dataset (Six Variables, One Correlation Close to One)reg_cor_near_one
Likelihood-Based Confidence Intervalsemlbci
Equality Constraint for Finding the LBCI by Wu-Neale-2012set_constraint
Dataset (Simple Mediation Model)simple_med
Dataset (Simple Mediation Model, Two Groups)simple_med_mg
Parameter Positions From lavaan Syntaxsyntax_to_i