Description Usage Arguments Details Value Note Author(s) References See Also

Function called by `cov.sel`

if `type="np"`

. Not meant to be used on its own.

1 2 | ```
cov.sel.np(T, Y, X, alg, scope, thru, thro, thrc, dat, data.0,
data.1, covar, ...)
``` |

`T ` |
A vector, containing |

`Y ` |
A vector of observed outcomes. |

`X ` |
A matrix or data frame containing columns of covariates. The covariates may be a mix of continuous, unordered discrete
(to be specified in the data frame using |

`alg ` |
Specifying which algorithm to be use. |

`scope ` |
A character string giving the name of one (or several) covariate(s) that must not be removed. |

`thru ` |
Bandwidth threshold for unordered discrete covariates. Values in |

`thro ` |
Bandwidth threshold for ordered discrete covariates. Values in |

`thrc ` |
Bandwidth threshold for continuous covariates. Non-negative values are valid. Default is |

`dat` |
Passed on from |

`data.0` |
Passed on from |

`data.1` |
Passed on from |

`covar` |
Passed on from |

`... ` |
Additional arguments passed on to |

See `cov.sel`

for details.

Function returns subsets, methods and removed covariates. See `cov.sel`

for details.

`cov.sel.np`

calls the function `npregbw`

so the package `np`

is required.

Jenny H<c3><a4>ggstr<c3><b6>m, <jenny.haggstrom@umu.se>

de Luna, X., I. Waernbaum, and T. S. Richardson (2011). Covariate selection for the nonparametric estimation of an average treatment effect. *Biometrika 98*. 861-875

H<c3><a4>ggstr<c3><b6>m, J., E. Persson, I. Waernbaum and X. de Luna (2015). An `R`

Package for Covariate Selection When Estimating Average Causal Effects. *Journal of Statistical Software 68*. 1-20

Hall, P., Q. Li and J.S. Racine (2007). Nonparametric estimation of regression functions in the presence of irrelevant regressors. *The Review of Economics and Statistics, 89*. 784-789

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