Description Usage Arguments Value Examples

Calculates the confidence interval for the estimator considered.

1 | ```
confidence_interval(estimation, std_dev, confidence = 0.95)
``` |

`estimation` |
A numeric value specifying the point estimation. |

`std_dev` |
A numeric value specifying the standard deviation of the point estimation. |

`confidence` |
A numeric value between 0 and 1 specifying the confidence level, taken as 1 - alpha (1 - Type I error). By default, its value is 0.95. |

A vector containing the lower and upper bounds.

1 2 3 4 5 6 7 8 9 | ```
covariates = c("education_primaria","education_secundaria",
"age", "sex")
pi = propensities(sampleNP, sampleP, covariates, algorithm = "glm", smooth = FALSE)
psa_weights = sc_weights(pi$convenience)
N = 50000
Y_est = total_estimation(sampleNP, psa_weights, estimated_vars = "vote_pens", N = N)
VY_est = fast_jackknife_variance(sampleNP, psa_weights,
estimated_vars = "vote_pens") * N^2
confidence_interval(Y_est, sqrt(VY_est), confidence = 0.90)
``` |

```
Loading required package: lattice
Loading required package: ggplot2
lower.vote_pens upper.vote_pens
16974.82 19537.56
```

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