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update NEWS
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ecmerkle committed Mar 23, 2024
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: blavaan
Title: Bayesian Latent Variable Analysis
Version: 0.5-3.1246
Version: 0.5-3.1249
Authors@R: c(person(given = "Edgar", family = "Merkle",
role = c("aut", "cre"),
email = "[email protected]",
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9 changes: 8 additions & 1 deletion NEWS.md
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# Version 0.5-4
## New features
* New function sampleData() for generating data from a blavaan object.

* Functionality for the newdata argument in blavPredict(), which can generate lv (and other) predictions for new data from a model that has already been estimated (continuous data only, target = "stan" only).

* Bugs from 0.5-3 are fixed.

# Version 0.5-3
## New features
* Functionality to find unrestricted blocks of the model's psi matrix (lv covariance matrix). lkj priors are assigned to these unrestricted blocks, improving the positive definite issue described in the "Opaque priors" paper.
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## Bugs/glitches discovered after the release:
* Some models with exogenous covariates, fixed.x=TRUE, and missing data fail to converge and yield implausible parameter values (reported by DeAnne Hunter).


# Version 0.5-2
## New features
* This is a maintenance release, primarily adding the new array declaration syntax in Stan models (syntax that became available in the new version of rstan).
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3 changes: 2 additions & 1 deletion man/sampleData.Rd
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posterior predictive checks, as well as prior predictive checks (setting
prisamp = TRUE during model estimation).}
\usage{
sampleData(object, nrep = NULL, conditional = FALSE, type = "response", simplify = FALSE, ...)
sampleData(object, nrep = NULL, conditional = FALSE, type = "response",
simplify = FALSE, ...)
}
\arguments{
\item{object}{An object of class \code{\linkS4class{blavaan}}.}
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