Tools for time series analysis in R. Use this tag for questions about programming with tidyverts.
Questions tagged [tidyverts]
23 questions
0
votes
1 answer
Given a tsibble with more than one key, is tidyverts able to box_cox() each time series using a respective lambda_guerrero value per time series?
My question is: if I had a tsibble with more than one key (n_keys > 1), and either one or more key variables (key_vars >= 1), is the tidyverts suite able to perform a box_cox transformation on each time series (one box_cox transformation per time…
0
votes
1 answer
How can we detect & remove variables with inbetween NAs and calculate the ACF on multiple time series?
Here is my toy time series data:
library(tidyverse); library(tsibble); library(feasts)
df <- tibble::tribble(
~date, ~A, ~B, ~C,
"1/31/2010", NA, 0.017, NA,
"2/28/2010", NA, 0.027, NA,
"3/31/2010", …

Geet
- 2,515
- 2
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0
votes
1 answer
fable::ARIMA produces only NULL model
Issue
I am trying to produce forecasts using regression models with ARIMA errors, but they always fail to produce anything other than a NULL model; in contrast, TSLM models work just fine on the same data.
Looking for an answer, I found this…

Bogdan
- 21
- 4
0
votes
2 answers
Create time series cross validation slices by key in the tidyverts package
Is there a way to create time series cross validation sets by key using the tidyverts package? I can't seem to get it right. Below is a reprex of my attempt.
The example involves creating time series cross-validation (slices with 1 step ahead) for…

Punxsutawney
- 81
- 1
- 4
0
votes
1 answer
Dynamically insert variables into a fable model using rlang
I am trying to dynamically insert variables into a fable model.
Data
library(dplyr)
library(fable)
library(stringr)
df <- tsibbledata::aus_retail %>%
filter(State == "Victoria", Industry == "Food retailing") %>%
mutate(reg_test = rnorm(441,…

StephenK
- 685
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- 16
0
votes
1 answer
selecting lagged predictors with TSLM using AICc
I am trying to determine lagged predictors to include in my time series model. So I fitted a TSLM with up to lag 3 of the independent variable
lag_models <- data_train %>% model(
ts_lag_0 = TSLM(Y ~ X)
, ts_lag_1 = TSLM(Y ~ X + lag_X_01)
,…

Punxsutawney
- 81
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- 4
0
votes
1 answer
Thoughts: time series modeling with fable and cross validation
I am building a time series model using fable and cross validation to determine the best model definition to use. Is there a risk of modeling
model(ETS(GDP))
vs
model(ETS(GDP ~ error('A') + trend('A') + season('A')) and other ETS methods
I am…

Punxsutawney
- 81
- 1
- 4
-1
votes
1 answer
R: Errors in the tidyverts
I have some data concerning events that take place at irregular intervals, where the only thing that matters is the order. I am trying to use some of the functions from the tidyverts universe (which replaces the forecast package), by declaring a…

andrewH
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