Description Usage Arguments Value Slots Objects from the Class Author(s) References Examples
This class extends the lavaanList
class, created by
fitting a lavaan model to a list of data sets. In this case, the list of
data sets are multiple imputations of missing data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44  ## S4 method for signature 'lavaan.mi'
show(object)
## S4 method for signature 'lavaan.mi'
summary(object, se = TRUE, ci = FALSE,
level = 0.95, standardized = FALSE, rsquare = FALSE, fmi = FALSE,
scale.W = !asymptotic, omit.imps = c("no.conv", "no.se"),
asymptotic = FALSE, header = TRUE, output = "text",
fit.measures = FALSE, ...)
## S4 method for signature 'lavaan.mi'
nobs(object, total = TRUE)
## S4 method for signature 'lavaan.mi'
coef(object, type = "free", labels = TRUE, omit.imps = c("no.conv", "no.se"))
## S4 method for signature 'lavaan.mi'
vcov(object, type = c("pooled", "between", "within",
"ariv"), scale.W = TRUE, omit.imps = c("no.conv", "no.se"))
## S4 method for signature 'lavaan.mi'
anova(object, ...)
## S4 method for signature 'lavaan.mi'
fitMeasures(object, fit.measures = "all",
baseline.model = NULL, output = "vector", omit.imps = c("no.conv",
"no.se"), ...)
## S4 method for signature 'lavaan.mi'
fitmeasures(object, fit.measures = "all",
baseline.model = NULL, output = "vector", omit.imps = c("no.conv",
"no.se"), ...)
## S4 method for signature 'lavaan.mi'
fitted(object, omit.imps = c("no.conv", "no.se"))
## S4 method for signature 'lavaan.mi'
fitted.values(object, omit.imps = c("no.conv", "no.se"))
## S4 method for signature 'lavaan.mi'
residuals(object, type = c("raw", "cor"), omit.imps = c("no.conv", "no.se"))
## S4 method for signature 'lavaan.mi'
resid(object, type = c("raw", "cor"), omit.imps = c("no.conv", "no.se"))

object 
An object of class 
se, ci, level, standardized, rsquare, header, output 
See

fmi 

scale.W 

omit.imps 

asymptotic 

fit.measures, baseline.model 
See 
... 
Additional arguments passed to 
total 

type 
The meaning of this argument varies depending on which method it
it used for. Find detailed descriptions in the Value section
under 
labels 

coef 

vcov 

fitted.values 

fitted 
alias for 
residuals 

resid 
alias for 
nobs 

anova 

fitMeasures 

fitmeasures 
alias for 
show 

summary 

coefList
list
of estimated coefficients in matrix format (one
per imputation) as output by lavInspect(fit, "est")
phiList
list
of modelimplied latentvariable covariance
matrices (one per imputation) as output by
lavInspect(fit, "cov.lv")
miList
list
of modification indices output by
modindices
seed
integer
seed set before running imputations
lavListCall
call to lavaanList
used to fit the
model to the list of imputed data sets in @DataList
, stored as a
list
of arguments
imputeCall
call to imputation function (if used), stored as a
list
of arguments
convergence
list
of logical
vectors indicating whether,
for each imputed data set, (1) the model converged on a solution, (2)
SEs could be calculated, (3) the (residual) covariance matrix of
latent variables (Ψ) is nonpositivedefinite, and (4) the
residual covariance matrix of observed variables (Θ) is
nonpositivedefinite.
lavaanList_slots
All remaining slots are from
lavaanList
, but runMI
only populates a
subset of the list
slots, two of them with custom information:
DataList
The list
of imputed data sets
SampleStatsList
List of output from
lavInspect(fit, "sampstat")
applied to each fitted
model
ParTableList
See lavaanList
vcovList
See lavaanList
testList
See lavaanList
h1List
See lavaanList
. An additional element is
added to the list
: $PT
is the "saturated" model's parameter
table, returned by lav_partable_unrestricted
.
baselineList
See lavaanList
See the runMI
function for
details. Wrapper functions include lavaan.mi
,
cfa.mi
, sem.mi
, and growth.mi
.
Terrence D. Jorgensen (University of Amsterdam; TJorgensen314@gmail.com)
Asparouhov, T., & Muthen, B. (2010). Chisquare statistics with multiple imputation. Technical Report. Retrieved from http://www.statmodel.com/
Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford.
Li, K.H., Meng, X.L., Raghunathan, T. E., & Rubin, D. B. (1991). Significance levels from repeated pvalues with multiplyimputed data. Statistica Sinica, 1(1), 65–92. Retrieved from https://www.jstor.org/stable/24303994
Meng, X.L., & Rubin, D. B. (1992). Performing likelihood ratio tests with multiplyimputed data sets. Biometrika, 79(1), 103–111. doi: 10.2307/2337151
Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York, NY: Wiley.
1  ## See ?runMI help page

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