Help file for runmplus_fits

Save selected results (fits and/or parameter estimates) from across multiple runmplus sessions.
Fits are accumulated in a matrix return in e(fits).
Use replace option to start a new collection of fits.
Identify fits you want to save using return list after a runmplus session.
You may also save parameter estimates [estimate(blah)] and their standard errors[se(blah)].

Note: this command is case sensitive.

runmplus_fits anything [ ,
REPlace
ESTimate(string)
se(string)
]

Options

anything - Specify fits (e.g., LL_H0, aBIC, free_parameters, CFI). By default, fits for Loglikelihood Loglikelihood_cf free_parameters aBIC are saved.

ESTimate(string) - identify a parameter estimate or two or any number to accumulate over multiple sessions.

Example

. runmplus y1-y4 , model(i s | y1@0 y2@1 y3@2 y4@3;)
. runmplus_fits LL_H0 free_parameters aBIC CFI , est(mean_s) replace
. runmplus y1-y4 , model(i s | y1@0 y2@1 y3@2 y4*3; )
. runmplus_fits LL_H0 free_parameters aBIC CFI , est(mean_s)
. mat list e(fits)

e(fits)[2,5]
LL_H0 free_parameters aBIC CFI means_s
r1 -2631.622 9 5297.521 .993 -.051
r1 -2631.028 10 5300.141 .993 -.049

. mat fits=e(fits)

. lli , l1(fits[2,1]) p1(fits[2,2]) l0(fits[1,1]) p0(fits[1,2])
difference test scaling correction (cd) = 1.000
Chi-square difference test = 1.188
P = 0.276

Author

Richard N Jones, ScD

Brown University

richard_jones@brown.edu

Also see

help for
runmplus
lli