| absBstdres |
Block version of abs-stdres Absolute values of residuals of kernel regressions of standardized x on standardized y, no control variables. |
| absBstdresC |
Block version of Absolute values of residuals of kernel regressions of standardized x on standardized y and control variables. |
| absBstdrhserC |
Block version abs_stdrhser Absolute residuals kernel regressions of standardized x on y and control variables, Cr1 has abs(Resid*RHS). |
| abs_res |
Absolute residuals of kernel regression of x on y. |
| abs_stdapd |
Absolute values of gradients (apd's) of kernel regressions of x on y when both x and y are standardized. |
| abs_stdapdC |
Absolute values of gradients (apd's) of kernel regressions of x on y when both x and y are standardized and control variables are present. |
| abs_stdres |
Absolute values of residuals of kernel regressions of x on y when both x and y are standardized. |
| abs_stdresC |
Absolute values of residuals of kernel regressions of x on y when both x and y are standardized and control variables are present. |
| abs_stdrhserC |
Absolute residuals kernel regressions of standardized x on y and control variables, Cr1 has abs(RHS*y) not gradients. |
| abs_stdrhserr |
Absolute values of Hausman-Wu null in kernel regressions of x on y when both x and y are standardized. |
| allPairs |
Report causal identification for all pairs of variables in a matrix (deprecated function). It is better to choose a target variable and pair it with all others, instead of considering all possible targets. |
| p1 |
internal p1 |
| Panel2Lag |
Function to compute a vector of 2 lagged values of a variable from panel data. |
| PanelLag |
Function for computing a vector of one-lagged values of xj, a variable from panel data. |
| parcorBijk |
Block version of generalized partial correlation coefficients between Xi and Xj, after removing the effect of xk, via nonparametric regression residuals. |
| parcorBMany |
Block version reports many generalized partial correlation coefficients allowing control variables. |
| parcorMany |
Report many generalized partial correlation coefficients allowing control variables. |
| parcorMtx |
Matrix of generalized partial correlation coefficients, always leaving out control variables, if any. |
| parcorSilent |
Silently compute generalized (ridge-adjusted) partial correlation coefficients from matrix R*. |
| parcor_ijk |
Generalized partial correlation coefficients between Xi and Xj, after removing the effect of xk, via nonparametric regression residuals. |
| parcor_ijkOLD |
Generalized partial correlation coefficient between Xi and Xj after removing the effect of all others. (older version, deprecated) |
| parcor_linear |
Partial correlation coefficient between Xi and Xj after removing the linear effect of all others. |
| parcor_ridg |
Compute generalized (ridge-adjusted) partial correlation coefficients from matrix R*. (deprecated) |
| pcause |
Compute the bootstrap probability of correct causal direction. |
| pillar3D |
Create a 3D pillar chart to display (x, y, z) data coordinate surface. |
| prelec2 |
Intermediate weighting function giving Non-Expected Utility theory weights. |
| probSign |
Compute probability of positive or negative sign from bootPairs output |
| sales2Lag |
internal sales2Lag |
| salesLag |
internal salesLag |
| seed |
internal seed |
| sgn.e0 |
internal sgn.e0 |
| silentMtx |
No-print kernel-causality unanimity score matrix with optional control variables |
| silentMtx0 |
Older kernel-causality unanimity score matrix with optional control variables |
| silentPairs |
No-print kernel causality scores with control variables Hausman-Wu Criterion 1 |
| silentPairs0 |
Older version, kernel causality weighted sum allowing control variables |
| siPairsBlk |
Block Version of silentPairs for causality scores with control variables |
| some0Pairs |
Function reporting detailed kernel causality results in a 7-column matrix (uses deprecated criterion 1, no longer recommended but may be useful for second and third criterion typ=2,3) |
| someCPairs |
Kernel causality computations admitting control variables reporting a 7-column matrix (has older Cr1) |
| someCPairs2 |
Kernel causality computations admitting control variables reporting a 7-column matrix, version 2. |
| someMagPairs |
Summary magnitudes after removing control variables in several pairs where dependent variable is fixed. |
| somePairs |
Function reporting kernel causality results as a 7-column matrix.(deprecated) |
| somePairs2 |
Function reporting kernel causality results as a 7-column matrix, version 2. |
| sort.abse0 |
internal sort.abse0 |
| sort.e0 |
internal sort.e0 |
| sort_matrix |
Sort all columns of matrix x with respect to the j-th column. |
| stdres |
Residuals of kernel regressions of x on y when both x and y are standardized. |
| stdz_xy |
Standardize x and y vectors to achieve zero mean and unit variance. |
| stochdom2 |
Compute vectors measuring stochastic dominance of four orders. |