Package index • semlbci

Forming LBCIs

Form LBCIs for selected parameters in a model fitted by [lavaan::lavaan()] or related functions such as [lavaan::sem()] and [lavaan::cfa()].

semlbci(): Likelihood-Based Confidence Interval

Helper Functions

check_sem_out(): Pre-analysis Check For 'semlbci'

get_cibound() get_cibound_status_not_0(): A 'cibound' Output From a 'semlbci' Object

nearby_levels(): LBCI Bounds of Nearby Levels of Confidence

ci_order() print(<ci_order>): Check The Order of Bounds in a List of semlbci Objects

syntax_to_i(): Parameter Positions From lavaan Syntax

loglike_compare() loglike_range() loglike_point() loglike_quad_range() loglike_quad_point() loglike_compare_ur() loglike_range_ur() loglike_point_ur() loglike_quad_range_ur() loglike_quad_point_ur(): Log Profile likelihood of a Parameter

plot(<loglike_compare>): Plot the Output of 'loglike_compare()'

Methods

Methods of semlbci-class objects (output of [semlbci()]).

confint(<semlbci>): Confidence Intervals for a 'smelbci' Object

print(<semlbci>): Print Method of a 'semlbci' Object

Advanced Functions

Low level functions for advanced users.

ci_bound_wn_i(): Likelihood-based Confidence Bound By Wu-Neale-2012

ci_bound_ur_i(): Likelihood-Based Confidence Bound By Root Finding

ci_bound_ur() gen_est_i(): Find a Likelihood-Based Confidence Bound By Root Finding

ci_i_one(): Likelihood-Based Confidence Bound for One Parameter

set_constraint(): Equality Constraint for Finding the LBCI by Wu-Neale-2012

print(<cibound>): Print Method of a 'cibound'-class Object

gen_userp() gen_sem_out_userp(): Create a Wrapper To Be Used in 'lavaan' Models

Datasets

Datasets used in examples.

cfa_evar_near_zero: Dataset (CFA, Two Factors, One Standardized Error Variance Close to Zero)

cfa_two_factors: Dataset (CFA, Two Factors, Six Variables)

cfa_two_factors_mg: Dataset (CFA, Two Factors, Six Variables, Two Groups)

mediation_latent: Dataset (SEM, Three Factors, Nine Variables, Mediation)

mediation_latent_skewed: Dataset (SEM, Three Factors, Nine Variables, Mediation, Skewed)

reg_cor_near_one: Dataset (Six Variables, One Correlation Close to One)

simple_med: Dataset (Simple Mediation Model)

simple_med_mg: Dataset (Simple Mediation Model, Two Groups)