Generate multiple initial vectors for the nls function in netSEM().
genInit(bounds = list(a1 = c(-3, 3), a2 = c(-3, 3), a3 = c(-3, 3)), k = 50)
a list of three vectors of length = 2. Each vector gives the upper and lower limits of an interval from which the initial values are randomly generated. The default values list(a1 = c(-3, 3), a2 = c(-3, 3), a3 = c(-3, 3)) sets limits of all three initial values to be (-3, 3).
a positive integer (default = 50). The number of initial vectors to generate.
Currently the non-linearizable function included in netSEM() is y = a + b * exp(c * x), where a, b and c are coefficients to be estimated. Thus an initial vector contains three values. The random initial values are generated by a uniform distribution between the bounds.
a data frame. Each column corresponds to a coefficient. Each row corresponds to a random initial vector.
genInit(list(a1 = c(0,2), a2 = c(4,5), a3 = c(-1, -0.5)), k = 20 )
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