model_fit {mars} | R Documentation |
Model fitting function
Description
Model fitting function
Usage
model_fit(model_input, R, method_null = "sem", N)
Arguments
model_input |
Model input as a character string. Multiple models need to be on their own line. See details for specification. |
R |
A correlation matrix, most likely this will be the average correlation matrix outputted from the metafor package. |
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_null = "sem", N)
model_fit(model_input = model, R = Br,
method_null = "sem", N )
[Package mars version 0.2.2 Index]