model_fit: Model fitting function

In lebebr01/metaRmat: Synthesis of Correlation Matrices

Model fitting function

Description

Model fitting function

Usage

model_fit(model_input, R, method_mat = "loehlin", method_null = "sem", N)

Arguments

model_input	Model input as a character string. Multiple models need to be on their own line. Model syntax uses lavann like syntax, see details for more details about this syntax.
R	A correlation matrix, most likely this will be the average correlation matrix outputted from the metafor package.
method_mat	Method of estimation, can either be "loehlin" or "lavaan". Default is "loehlin"
method_null	Unsure
N	Sample size

Value

A list of fit indices.

Examples

Br <-  matrix(c(1.00000000, -0.09773331, -0.1755029,  0.3186775,
-0.09773331,  1.00000000,  0.5271873, -0.4175596,
-0.17550292,  0.5271872,  1.0000000, -0.4006848,
0.31867753, -0.41755963, -0.4006848,  1.0000000),
nrow = 4, byrow = TRUE)

colnames(Br) <- c("Performance",  "Self_confidence",  "Cognitive", "Somatic" )

rownames(Br) <- colnames(Br)

## Proposed path model
model <- "## Regression paths
Performance ~  Self_confidence  + Cognitive  + Somatic
Self_confidence ~ Cognitive + Somatic "

N <- 573
model_fit(model_input = model, R = Br, method_mat  = "lavaan",
         method_null = "sem", N)
model_fit(model_input = model, R = Br, method_mat  = "loehlin",
         method_null = "sem", N )

lebebr01/metaRmat documentation built on Feb. 24, 2024, 10:44 a.m.