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Issue #45: vector of levels in predict / forecast.
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config-i1 committed Sep 2, 2020
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Expand Up @@ -12,6 +12,7 @@ Changes:
* stepwise now treats all dummy variables as factors. This is needed for purposes of the calculation of measures of association.
* New method: coefbootstrap() - do the bootstrap for coefficients of the model in order to get covariance matrix and other cool thingies (e.g. vcov(), coefint(), summary() and predict() functions).
* Two new methods detectdst() and detectleap(), which return start and end dates for dst change and leap year based on the provided object (POSIXt / Date / zoo / xts).
* predict() and forecast() methods now accept vector of levels, producing several bounds.

Bugfixes:
* Added abs() in mcor() in order to avoid rounding issues in R, which caused sqrt(-1e-16) to produce NaN.
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