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 
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 nonmissing 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 

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 
d 
The root mean squared error (RMSE) 
Landon Sego
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.