pval_correct | R Documentation |

Internal function to calculate various p-value corrections for use within the `spatial_power`

and `jitter_power`

functions.

```
pval_correct(
input,
type = c("FDR", "Sidak", "Bonferroni"),
alpha = 0.05,
nbc = NULL
)
```

`input` |
An object of class 'rrs' from the |

`type` |
Character string specifying which correction for multiple comparisons. Options include a False Discovery Rate |

`alpha` |
Numeric. The alpha level for significance threshold (default in |

This function provides functionality for multiple testing correction in five ways:

Computes a False Discovery Rate by Benjamini and Hochberg \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.2517-6161.1995.tb02031.x")} (

`p_correct = "FDR"`

) by: 1) sorting the p-values (p_i) of each knot in ascending order (p_1 <= p_2 <= ... <= p_m), 2) starting from p_m find the first p_i for which p_i <= (i/m) * alpha.Computes a Sidak correction \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2283989")} (

`p_correct = "Sidak"`

) by 1 - (1 -`alpha`

) ^ (1 / total number of gridded knots across the estimated surface). The default in the`risk`

function is a resolution of 128 x 128 or n = 16,384 knots and a custom resolution can be specified using the`resolution`

argument within the`risk`

function.Computes a Bonferroni correction (

`p_correct = "Bonferroni"`

) by`alpha`

/ total number of gridded knots across the estimated surface. The default in the`risk`

function is a resolution of 128 x 128 or n = 16,384 knots and a custom resolution can be specified using the`resolution`

argument within the`risk`

function.

An object of class 'numeric' with the corrected alpha level.

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