Forecasting using Dlm in R

[TalhaAsif]

I have this dataset where I need to do a forecast for the next 6 Quarters using a Dynamic linear model (dlm) in R.
Also, including at least a trend and a seasonal value.
Here is the ts converted data.

Please anyone help. I have no knowledge of dlm's in R. Here is my code.

DLM <- data1.ts

dlmMod <- dlmModPoly() + dlmModSeas(4)

dlmFilt <- dlmFilter(DLM, mod = dlmMod)

dlmFc <- dlmForecast(dlmFilt, nAhead = 6)

[williaml]

Hi, have a look at some of the examples here:

Tutorial: State-Space Modelling

Also, next time please post a reproducible example instead of a screenshot of your code:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[TalhaAsif]

Hey, thanks for the reply. The link you sent was super helpful to me, everything is clear to me right now.