Description Usage Arguments Author(s) Examples
A function used to calculate fungible parameter estimates.
1 2 3 4 5 6 | ps_index(model = NULL, data_set = NULL, group = NULL,
RMSEA_pert = 0, meanstructure = NULL, genanneal_max_iters = 100,
plot_fpe = FALSE, output_long = FALSE, frac_plot = 1,
iterations_bin = 40000, suppress_message = FALSE,
control_genSA = NULL, index_method = "rmsea", lower = -10,
upper = 10, starting_val_MLE = FALSE, dev_options = NULL)
|
model |
user-specified SEM that using lavaan syntax. |
data_set |
data frame of measured variables. |
RMSEA_pert |
numeric. Defines the maximum size of the perturbation in data-model fit (in the scale of RMSEA). For example, a RMSEA_pert = .01 indicates that all estimates will be stored that have a RMSEA value within .01 RMSEA of the MLE RMSEA value. |
genanneal_max_iters |
integer. The maximum number of iterations of the simulated annealing algorithm. |
plot_fpe |
a logical value indicating whether FPEs should be graphed alongside the maximum likelihood estimates. Defaults to |
output_long |
a logical value that indicates whether the FPEs and the MLE should be output in long data format. Defaults to |
frac_plot |
the fraction of FPEs that are graphed. Defaults to 1. |
iterations_bin |
numeric. Represents the maximum number of fungible estimates that can be stored. Defaults to 40,000 |
control_genSA |
list. used to control the simulated annealing algorithm (see GenSA documentation) |
index_method |
Character. Specify the index used to calculate FPEs. Either RMSEA or AIC. Defaults to RMSEA |
lower |
Numeric. Lower bound of the parameter search space to be optimized over. Defaults to |
upper |
Numeric. Upper bound of the parameter search space to be optimized over. Defaults to |
starting_val_MLE |
a logical value indicating whether the MLEs should be used as starting values for the SA algorithm. Defaults to |
dev_options |
list. used to control special functions. not for regular usage. |
Jordan Yee Prendez, jordanyeeprendez@gmail.com
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ## Not run:
model <- '
measurement model
ind60 =~ x1 + x2 + x3
dem60 =~ y1 + y2 + y3 + y4
dem65 =~ y5 + y6 + y7 + y8
# regressions
dem60 ~ ind60
dem65 ~ ind60 + dem60
# residual correlations
y1 ~~ y5
y2 ~~ y4 + y6
y3 ~~ y7
y4 ~~ y8
y6 ~~ y8
'
ps_index(model = model, data_set = PoliticalDemocracy,
RMSEA_pert = .01,
plot_fpe = TRUE,
index_method = "rmsea",
frac_plot = .3, iterations_bin = 100000,
control_genSA = list(maxit = 500))
## End(Not run)
|
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