FNAIVE: Functional naive model
In vital: Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data
FNAIVE R Documentation
Functional naive model
Description
FNAIVE() returns an random walk functional model applied to the formula's response variable as a function of age.
Usage
FNAIVE(formula, ...)
Arguments
formula
Model specification.
...
Not used.
Value
A model specification.
Author(s)
Rob J Hyndman
Examples
fnaive <- aus_mortality |>
dplyr::filter(State == "Victoria", Sex == "female") |>
model(fit = FNAIVE(Mortality))
report(fnaive)
autoplot(fnaive) + ggplot2::scale_y_log10()
vital documentation built on June 22, 2024, 9:56 a.m.
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| FNAIVE | R Documentation |
Functional naive model
Description
FNAIVE() returns an random walk functional model applied to the formula's response variable as a function of age.
Usage
FNAIVE(formula, ...)
Arguments
formula |
Model specification. |
... |
Not used. |
Value
A model specification.
Author(s)
Rob J Hyndman
Examples
fnaive <- aus_mortality |>
dplyr::filter(State == "Victoria", Sex == "female") |>
model(fit = FNAIVE(Mortality))
report(fnaive)
autoplot(fnaive) + ggplot2::scale_y_log10()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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