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r / packages / r-forecastsnsts

Methods to compute linear h-step ahead prediction coefficients based on localised and iterated Yule-Walker estimates and empirical mean squared and absolute prediction errors for the resulting predictors. Also, functions to compute autocovariances for AR(p) processes, to simulate tvARMA(p,q) time series, and to verify an assumption from Kley et al. (2019), Electronic of Statistics, forthcoming. Preprint <arXiv:1611.04460>.

Type Size Name Uploaded Downloads Labels
conda 132.2 kB | linux-64/r-forecastsnsts-1.3_0-r43h884c59f_0.tar.bz2  1 year and 1 month ago 24 main
conda 133.3 kB | linux-64/r-forecastsnsts-1.3_0-r42h884c59f_0.tar.bz2  2 years and 7 months ago 54 main
conda 136.7 kB | win-64/r-forecastsnsts-1.3_0-r36h796a38f_0.tar.bz2  4 years and 11 months ago 79 main
conda 122.8 kB | osx-64/r-forecastsnsts-1.3_0-r36h466af19_0.tar.bz2  4 years and 11 months ago 13 main
conda 126.4 kB | linux-64/r-forecastsnsts-1.3_0-r36h29659fb_0.tar.bz2  4 years and 11 months ago 63 main

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