% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotting.R
\name{plot_mlp_fits_interactive}
\alias{plot_mlp_fits_interactive}
\title{Interactive Plot of Rolling MLP Fits}
\usage{
plot_mlp_fits_interactive(
  y,
  fit_mlp_res,
  t.chp.ind = NA,
  step = 50,
  start = 75,
  w = 100
)
}
\arguments{
\item{y}{Numeric vector. The original signal.}

\item{fit_mlp_res}{A list containing rolling MLP fit results. Expected to be
a list of two lists, each containing matrices with fitted values.}

\item{t.chp.ind}{Optional numeric vector of changepoint indices to draw as
vertical dashed lines.}

\item{step}{Integer. Step size for the slider increments.}

\item{start}{Integer. Starting index for the first model window.}

\item{w}{Integer. Window size used in the rolling MLP fitting.}
}
\value{
A Plotly object.
}
\description{
Creates an interactive Plotly visualization showing multiple rolling-window
MLP fits over a univariate signal. A slider allows the user to move through
different window positions and compare model fits dynamically.
}
