Description Usage Arguments Details Value Author(s) References See Also Examples
This function calculated the maximum-likelihood estimates parameters
1 | Predict(x, y)
|
x |
independent variable on model y_i=α+β x_i+ε_i (mod 2π) (i=1,2,...,n) |
y |
the response variable on model y_i=α+β x_i+ε_i (mod 2π) (i=1,2,...,n) |
This function uses of iterative methods for the parameter estimates in circular-circular regression model and The user can default values The desired change.
Number
a list containing the following values:
alpha1 |
estimate of α |
beta1 |
estimate of β |
.
Azade Ghazanfarihesari, Majid Sarmad
A. H. Abuzaid, A. G. Hussin & I. B. Mohamed (2013) Detection of outliers in simple circular regression models using the mean circular error statistics
circular,CircStats
1 2 3 4 5 |
Loading required package: CircStats
Loading required package: MASS
Loading required package: boot
Loading required package: circular
Attaching package: 'circular'
The following objects are masked from 'package:CircStats':
A1, A1inv, I.0, I.1, I.p, deg, plot.edf, pp.plot, rad, rose.diag,
rstable
The following objects are masked from 'package:stats':
sd, var
Attaching package: 'CircOutlier'
The following object is masked from 'package:circular':
wind
$output
alpha1 beta1
[1,] 6.00976 1.284082
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