{smcl} {hline} Help file for {hi:runmplus_fits} {hline} {p 4 4 2} Save selected results (fits and/or parameter estimates) from across multiple {hi:runmplus} sessions. Fits are accumulated in a matrix return in {hi:e(fits)}. Use {it:replace} option to start a new collection of fits. Identify fits you want to save using {hi: return list} after a {hi:runmplus} session. You may also save parameter estimates [{it:estimate}(blah)] and their standard errors[{it:se}(blah)]. Note: this command is case sensitive. {hline} {p 8 17 2} {cmd: runmplus_fits} anything [ , {hi:REPlace} {hi:ESTimate(}{it:string}{hi:)} {hi:se(}{it:string}{hi:)} ] {title:Options} {p 0 8 2} {cmd:anything} - Specify fits (e.g., LL_H0, aBIC, free_parameters, CFI). By default, fits for Loglikelihood Loglikelihood_cf free_parameters aBIC are saved. {p 0 8 2} {cmd:ESTimate(}{it:string}{hi:)} - identify a parameter estimate or two or any number to accumulate over multiple sessions. {title:Example} {hi:. runmplus y1-y4 , model(i s | y1@0 y2@1 y3@2 y4@3;)} {hi:. runmplus_fits LL_H0 free_parameters aBIC CFI , est(mean_s) replace} {hi:. runmplus y1-y4 , model(i s | y1@0 y2@1 y3@2 y4*3; )} {hi:. runmplus_fits LL_H0 free_parameters aBIC CFI , est(mean_s)} {hi:. 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 {hi:. mat fits=e(fits)} {hi:. 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 {title:Author} {p 8 8 2}Richard N Jones, ScD{break} Brown University{break} richard_jones@brown.edu{break} {title:Also see} {p 0 19}help for {help runmplus} {help lli} {p_end}