View source: R/helper_lm_robust_fit.R

lm_robust_fit | R Documentation |

Internal method that creates linear fits

```
lm_robust_fit(
y,
X,
yoriginal = NULL,
Xoriginal = NULL,
weights,
cluster,
fixed_effects = NULL,
ci = TRUE,
se_type,
has_int,
alpha = 0.05,
return_vcov = TRUE,
return_fit = TRUE,
try_cholesky = FALSE,
iv_stage = list(0)
)
```

`y` |
numeric outcome vector |

`X` |
numeric design matrix |

`yoriginal` |
numeric outcome vector, unprojected if there are fixed effects |

`Xoriginal` |
numeric design matrix, unprojected if there are fixed effects. Any column named |

`weights` |
numeric weights vector |

`cluster` |
numeric cluster vector |

`fixed_effects` |
character matrix of fixed effect groups |

`ci` |
boolean that when T returns confidence intervals and p-values |

`se_type` |
character denoting which kind of SEs to return |

`has_int` |
logical, whether the model has an intercept, used for |

`alpha` |
numeric denoting the test size for confidence intervals |

`return_vcov` |
logical, whether to return the vcov matrix for later usage |

`return_fit` |
logical, whether to return fitted values |

`try_cholesky` |
logical, whether to try using a cholesky decomposition to solve LS instead of a QR decomposition |

`iv_stage` |
list of length two, the first element denotes the stage of 2SLS IV estimation, where 0 is used for OLS. The second element is only used for the second stage of 2SLS and has the first stage design matrix. For OLS, the default, |

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