imputeTS
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CRAN R Package: Time Series Missing Value Imputation
Hi, first of all thanks for maintaining this great package! On Ubuntu 22.04 LTS with a freshly installed R using the regular `sudo apt install r-base-core` I tried to `install.packages('imputeTS')`...
Something similar to the forecast package would be nice. (forecast has also nice plots with confidence intervals)
pointed out by our typo CI tool
Adding option for users to alter the approximation rule to describe how interpolation outside the interval [min(x), max(x)] should take place.
Hi @SteffenMoritz Thanks for the amazing package ImputeTS. However, I found it to be slow when imputing long time series (~3000 daily data) with `na_kalman(x, model = "StructTS")` Below is...
This is a very useful package. Appreciate this contribution. I would like to know whether is it possible to do multiple imputations using this package? Any guidance/directions about the possibilities...
Hi Steffen, Thanks for this great package which greatly facilitates imputations. This is a feature request. Would it be possible to return the fitting statistics and/or residuals from the subroutines?...
Hi Steffen and Bartz, I got an error after running the na_kalman from imputeTS library. This function works on part of the xts time series object I was testing, although...
The interpolation result by na_kalman() is pretty good when the option model='auto.arima' is used. Is it possible to show the searched parameter results of auto.arima()? Did the package use the...
Faceting
Hi @SteffenMoritz. Thank you for the nice package. Is it possible to facet using ggplot2 facet functions and the plotting functions from **imputeTS** package? Something like. ``` ggplot_na_distribution()+ facet_wrap()/facet_grid() ```