NPL
Neurological Programs and Libraries
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#include <statistics.h>
Public Attributes | |
VectorXd | yhat |
Predicted y values, based on estimate of Beta. More... | |
VectorXd | bhat |
Estimated Beta. More... | |
double | ssres |
Sum of square of the residuals. More... | |
double | sigmahat |
sigma hat - estimate standard deviation of noise More... | |
double | rsqr |
Coefficient of determination (Rsqr) More... | |
double | adj_rsqr |
Coefficient of determination, corrected for the number of regressors. More... | |
VectorXd | std_err |
Standard errors for each of the regressors. More... | |
double | dof |
Degrees of freedom in the regression. More... | |
VectorXd | t |
Students t score of each of the regressors. More... | |
VectorXd | p |
Significance of each of the regressors. More... | |
Definition at line 186 of file statistics.h.
double npl::RegrResult::adj_rsqr |
Coefficient of determination, corrected for the number of regressors.
Definition at line 217 of file statistics.h.
VectorXd npl::RegrResult::bhat |
Estimated Beta.
Definition at line 196 of file statistics.h.
double npl::RegrResult::dof |
Degrees of freedom in the regression.
Definition at line 227 of file statistics.h.
VectorXd npl::RegrResult::p |
Significance of each of the regressors.
Definition at line 237 of file statistics.h.
double npl::RegrResult::rsqr |
Coefficient of determination (Rsqr)
Definition at line 211 of file statistics.h.
double npl::RegrResult::sigmahat |
sigma hat - estimate standard deviation of noise
Definition at line 206 of file statistics.h.
double npl::RegrResult::ssres |
Sum of square of the residuals.
Definition at line 201 of file statistics.h.
VectorXd npl::RegrResult::std_err |
Standard errors for each of the regressors.
Definition at line 222 of file statistics.h.
VectorXd npl::RegrResult::t |
Students t score of each of the regressors.
Definition at line 232 of file statistics.h.
VectorXd npl::RegrResult::yhat |
Predicted y values, based on estimate of Beta.
Definition at line 191 of file statistics.h.