simsem (version 0.2-8)

startingValues: Find starting values by averaging random numbers

Description

Find starting values of free parameters based on pre-specified starting values. If the pre-specified starting values are numbers, the function will use that values. If they are distribution object, this function will randomly draw from the distribution 10 times and take the average of those values.

Usage

startingValues(object, trial, ...)

Arguments

object

The target object that is used to find starting values

trial

The number of random drawn to average out and provide the starting values

...

Other arguments, such as reduced for reducing X-Y set of matrices to Y set of matrices only

Value

• A vector, a matrix, or a MatrixSet which includes the starting values of parameters

Examples

# This function is not public

#u89 <- simUnif(0.8, 0.9)
#loading <- matrix(0, 6, 2)
#loading[1:3, 1] <- NA
#loading[4:6, 2] <- NA
#loadingValues <- matrix(0, 6, 2)
#LX <- simMatrix(loading, "u89")
#startingValues(LX, 10)

#u89 <- simUnif(0.8, 0.9)
#loading <- matrix(0, 6, 2)
#loading[1:3, 1] <- NA
#loading[4:6, 2] <- NA
#loadingValues <- matrix(0, 6, 2)
#LX <- simMatrix(loading, "u89")
#latent.cor <- matrix(NA, 2, 2)
#diag(latent.cor) <- 1
#PH <- symMatrix(latent.cor, 0.5)
#error.cor <- matrix(0, 6, 6)
#diag(error.cor) <- 1
#TD <- symMatrix(error.cor)
#CFA.Model <- simSetCFA(LX = LX, PH = PH, TD = TD)
#result <- startingValues(CFA.Model, 10)
#summary(result)