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DESCRIPTION

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Package: dfms
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Version: 0.2.2
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Version: 0.3.0
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Title: Dynamic Factor Models
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Authors@R: c(person("Sebastian", "Krantz", role = c("aut", "cre"), email = "[email protected]"),
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person("Rytis", "Bagdziunas", role = "aut"))

NEWS.md

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# dfms 0.2.1.9000
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# dfms 0.3.0
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* Added argument `quarterly.vars`, enabling mixed-frequency estimation with monthly and quarterly data following Banbura and Modugno (2014). The data matrix should contain the quarterly variables at the end of the matrix (after the monthly ones).
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# dfms 0.2.2
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* Replace Armadillo `inv_sympd()` by Armadillo `inv()` in C++ Kalman Filter to improve numerical robustness at a minor performance cost.
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