Description Usage Arguments Value Examples

View source: R/assess_performance.R

Calculates the percent of simulations in which the estimated 95% confidence interval for the log relative risk includes the true value of the log relative risk.

1 | ```
coverage_beta(df, true_rr)
``` |

`df` |
A data frame of replicated simulations which must include columns
titled |

`true_rr` |
The true relative risk used to simulate the data. |

A data frame with the percent of confidence intervals for the
estimated log relative risk over `n_reps`

simulations which include
the true log relative risk.

1 2 3 4 5 6 7 8 9 10 | ```
sims <- create_sims(n_reps = 10, n = 600, central = 100,
sd = 10, exposure_type = "continuous",
exposure_trend = "cos1", exposure_slope=1,
exposure_amp = 0.6,
average_outcome = 20,
outcome_trend = "no trend",
rr = 1.01)
fits <- fit_mods(data = sims, custom_model = spline_mod,
custom_model_args = list(df_year = 1))
coverage_beta(df=fits, true_rr = 1.02)
``` |

eesim documentation built on June 4, 2017, 1:03 a.m.

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