I have a daily frequency data of stock prices with some missing values and I want to interpolate them using the package tempdisagg. Does anyone have an example of interpolation with this package?
I am using this code:
my_td \<- td(merged_df, High \~ year(Date), to = 1, method = "litterman-minrss", conversion = "mean")
But when I run the code R crashes.
I just want to fill the missing values of missing values using the method litterman-minrss.