getM2LogL_cov: getM2LogL_cov
In jhorzek/laremm: LASSO Regularization in mxModels
View source: R/getM2LogL_cov.R
getM2LogL_cov R Documentation
getM2LogL_cov
Description
Note: laremm is based on the R package regsem. Because of the early status of laremm, it is recommended to use regsem instead!
Usage
getM2LogL_cov(ExpCov, ObsCov, NManif, NObs, useBiasedCov = T)
Arguments
ExpCov
Expected covariance matrix
ObsCov
Observed covariance matrix
NManif
Number of manifest variables in the data set
NObs
Sample size
useBiasedCov
if TRUE, the biased covariance is used to compute the -2LogL
Details
This function computes the -2log(Likelihood) based on the formula reported in Bollen 1989, p. 133
Author(s)
Jannik Orzek
jhorzek/laremm documentation built on Sept. 16, 2022, 12:06 p.m.
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View source: R/getM2LogL_cov.R
| getM2LogL_cov | R Documentation |
getM2LogL_cov
Description
Note: laremm is based on the R package regsem. Because of the early status of laremm, it is recommended to use regsem instead!
Usage
getM2LogL_cov(ExpCov, ObsCov, NManif, NObs, useBiasedCov = T)
Arguments
ExpCov |
Expected covariance matrix |
ObsCov |
Observed covariance matrix |
NManif |
Number of manifest variables in the data set |
NObs |
Sample size |
useBiasedCov |
if TRUE, the biased covariance is used to compute the -2LogL |
Details
This function computes the -2log(Likelihood) based on the formula reported in Bollen 1989, p. 133
Author(s)
Jannik Orzek
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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