Module liba.regress_simple
simple linear regression
Functions
| new (coef, bias) | constructor for simple linear regression |
| init (ctx, coef, bias) | initialize for simple linear regression |
| eval (ctx, val) | calculate predicted value for simple linear regression |
| evar (ctx, val) | calculate predicted value for simple linear regression |
| ols_ (ctx, x, y, x_mean, y_mean) | ordinary least squares for simple linear regression |
| olsx (ctx, x, y, x_mean) | ordinary least squares for simple linear regression |
| olsy (ctx, x, y, y_mean) | ordinary least squares for simple linear regression |
| ols (ctx, x, y) | ordinary least squares for simple linear regression |
| zero (ctx) | zeroing for simple linear regression |
Functions
- new (coef, bias)
-
constructor for simple linear regression
Parameters:
- coef number regression coefficient
- bias number intercept
Returns:
-
a.regress_simple
simple linear regression userdata
- init (ctx, coef, bias)
-
initialize for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- coef number regression coefficient
- bias number intercept
Returns:
-
a.regress_simple
simple linear regression userdata
- eval (ctx, val)
-
calculate predicted value for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- val number independent variable
Returns:
-
number
predicted value
- evar (ctx, val)
-
calculate predicted value for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- val number dependent variable
Returns:
-
number
predicted value
- ols_ (ctx, x, y, x_mean, y_mean)
-
ordinary least squares for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- x table predictor data, specified as a numeric vector
- y table response data, specified as a numeric vector
- x_mean number mean of predictor data
- y_mean number mean of response data
Returns:
-
a.regress_simple
simple linear regression userdata
- olsx (ctx, x, y, x_mean)
-
ordinary least squares for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- x table predictor data, specified as a numeric vector
- y table response data, specified as a numeric vector
- x_mean number mean of predictor data
Returns:
-
a.regress_simple
simple linear regression userdata
- olsy (ctx, x, y, y_mean)
-
ordinary least squares for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- x table predictor data, specified as a numeric vector
- y table response data, specified as a numeric vector
- y_mean number mean of response data
Returns:
-
a.regress_simple
simple linear regression userdata
- ols (ctx, x, y)
-
ordinary least squares for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
- x table predictor data, specified as a numeric vector
- y table response data, specified as a numeric vector
Returns:
-
a.regress_simple
simple linear regression userdata
- zero (ctx)
-
zeroing for simple linear regression
Parameters:
- ctx a.regress_simple simple linear regression userdata
Returns:
-
a.regress_simple
simple linear regression userdata