Namespace Regression¶
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namespace
regression
¶ Functions
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void
linear
(af::array xss, af::array yss, af::array &slope, af::array &intercept, af::array &rvalue, af::array &pvalue, af::array &stderrest)¶ Calculate a linear least-squares regression for two sets of measurements. Both arrays should have the same length.
- Parameters
xss
: Expects an input array whose dimension zero is the length of the time series (all the same) and dimension one indicates the number of time series.yss
: Expects an input array whose dimension zero is the length of the time series (all the same) and dimension one indicates the number of time series.slope
: Slope of the regression line.intercept
: Intercept of the regression line.rvalue
: Correlation coefficient.pvalue
: Two-sided p-value for a hypothesis test whose null hypothesis is that the slope is zero, using Wald Test with t-distribution of the test statistic.stderrest
: Standard error of the estimated gradient.
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void