- object
A list obtained as output from fof_pc,
i.e. a fitted function-on-function linear regression model.
- mfdobj_y_new
An object of class mfd containing
the phase II data set of the functional response
observations to be monitored.
- mfdobj_x_new
An object of class mfd containing
the phase II data set of the functional covariates
observations to be monitored.
- mfdobj_y_tuning
An object of class mfd containing
the tuning data set of the functional response observations,
used to estimate the control chart limits.
If NULL, the training data, i.e. the data used to fit the
function-on-function linear regression model,
are also used as the tuning data set, i.e.
mfdobj_y_tuning=object$pca_y$data.
Default is NULL.
- mfdobj_x_tuning
An object of class mfd containing
the tuning data set of the functional covariates observations,
used to estimate the control chart limits.
If NULL, the training data, i.e. the data used to fit the
function-on-function linear regression model,
are also used as the tuning data set, i.e.
mfdobj_x_tuning=object$pca_x$data.
Default is NULL.
- alpha
If it is a number between 0 and 1,
it defines the overall type-I error probability.
By default, it is equal to 0.05 and the Bonferroni correction
is applied by setting the type-I error probabilities equal to
alpha/2 in the Hotelling's T2 and SPE control charts.
If include_covariates is TRUE, i.e.,
the Hotelling's T2 and SPE control charts are built
also on the multivariate functional covariates, then the Bonferroni
correction is applied by setting the type-I error probability
in the four control charts equal to alpha/4.
If you want to set manually the Type-I error probabilities,
then the argument alpha must be a named list
with elements named as T2, spe,
T2_x and, spe_x, respectively, containing
the desired Type I error probability of
the T2 and SPE control charts for the functional response and
the multivariate functional covariates, respectively.
- include_covariates
If TRUE, also functional covariates are monitored through
control_charts_pca,.
If FALSE, only the functional response, conditionally on the covariates,
is monitored.
- absolute_error
A logical value that, if include_covariates is TRUE, is passed
to control_charts_pca.