Description Usage Arguments Value See Also
This function generates data from gen_model
, subsequently fits all the
models in fit_model
, and returns the results and/or saves them to an
external RData file.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  irtree_sim1(
R = 1,
gen_model = NULL,
fit_model = gen_model,
N = NULL,
sigma = NULL,
itempar = NULL,
link = c("logit", "probit"),
na_okay = TRUE,
engine = c("mirt", "mplus", "tam"),
verbose = TRUE,
control = NULL,
improper_okay = FALSE,
par_type = "difficulty",
file = NULL,
dir = tempdir(),
save_rdata = FALSE,
reduce_output = FALSE
)

R 
Integer used to number the saved output if 
gen_model 
Object of class 
fit_model 
Object of class 
N 
Integer, the number of persons. 
sigma 
Either a matrix or a function that returns a matrix. This matrix
is the variancecovariance matrix of the person parameters that is passed
to 
itempar 
Either a list or a function that returns a list. The list has
an element 
link 
Character. Link function to use. 
na_okay 
Logical indicating whether variables with unobserved response
categories are permitted. If 
engine 
String specifying whether to use mirt, Mplus, or TAM for estimation. 
verbose 
Logical indicating whether output should be printed to the console. 
control 
List. The allowed elements of this list depend on the

improper_okay 
Logical indicating whether the model should also be fit
if it is not a proper IRtree model. Set this only to 
par_type 
Only used if the fit engine was mirt. Item parameters (or
thresholds) can be either of type 
file 
String giving the file path used to save the output if

dir 
Path name that is used to save the results of every run if

save_rdata 
Logical indicating whether to save the results to an RData file. 
reduce_output 
Logical indicating whether the returned object should be
reduced (i.e., the output of 
List with two elements. The second element spec
contains various
arguments (such as the data). The first element fits
is a list with one
element for each fit_model
that contains the output of
fit()
as well as the elements glanced
, tidied
,
and augmented
(see glance()
, tidy()
, and augment()
).
irtree_sim()
, and the wrapped functions
fit()
and irtree_gen_data()
.
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