clcm_2stage: Two-Stage Estimation of the CLCM
In CJangelo/CLCM: Estimate Confirmatory Latent Class Models
clcm_2stage R Documentation
Two-Stage Estimation of the CLCM
Description
Treat item parameters as fixed to fit a longitudinal CLCM. The model
can have any number of timepoints. The only limitation is the estimation
of the posteriors - item parameters are fixed.
The CLCM R package requires that count items start at 0
Usage
clcm_2stage(dat, clcm.mod, lprior.t1)
Arguments
dat
dataframe containing the new item responses you want to fit the
model to.
clcm.mod
a CLCM model that you already fit (Stage 1). This will
have the item parameter estimates, item names, item type, and Q-matrix.
lprior
this is the log-prior for timepoint 2. N by L matrix.
CJangelo/CLCM documentation built on May 22, 2022, 9:27 a.m.
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| clcm_2stage | R Documentation |
Two-Stage Estimation of the CLCM
Description
Treat item parameters as fixed to fit a longitudinal CLCM. The model can have any number of timepoints. The only limitation is the estimation of the posteriors - item parameters are fixed. The CLCM R package requires that count items start at 0
Usage
clcm_2stage(dat, clcm.mod, lprior.t1)
Arguments
dat |
dataframe containing the new item responses you want to fit the model to. |
clcm.mod |
a CLCM model that you already fit (Stage 1). This will have the item parameter estimates, item names, item type, and Q-matrix. |
lprior |
this is the log-prior for timepoint 2. N by L matrix. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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