fitQslow: Fits the moving window quadratic (or simple linear)...
In pnnl/qFeature: Extract Features from Continuous or Discrete Time Series

Description Usage Arguments Details Value Author(s)

A very slow version of fitQ that was coded independently in order to check fitQ. It is identical in every respect to fitQ except that it uses a slower algorithm that uses lm for the model fit.

1 2	fitQslow(y, x1, min.window = 5, start = 1, skip = 1, linear.only = FALSE)

`y`	A numeric vector
`x1`	The linear predictor of a the regression model, whose length must be odd, and it must be monotonic (increasing or decreasing).
`min.window`	The minimum number of non-missing data points in a window that are required to fit the regression model.
`start`	The index of the center of the first window
`skip`	The number of indexes to advance the center of the moving window each time the model is fit.
`linear.only`	`=TRUE` fits a simple linear regression model with `x1` as the single predictor, instead of a quadratic regression model.

This function is for testing and validation only and is not exported.

A matrix with the 4 columns that contain the results of the quadratic model fits:

`a`	The estimated intercepts
`b`	The estimated linear coefficients
`c`	The estimated quadratic coefficients. These are `NA` is `linear.only=TRUE`
`d`	The root mean squared error (RMSE)