GRIWM_docs: Gaussian-Resampled Inverse-Weighted McInerny Approach

In sarakahanamoku/GRIWM: Gaussian-Resampled Inverse-Weighted McInerny Approach

Description

GRIWM etimates extinction time from fossil data. Observations are weighted inversely by their temporal distance from the last observation of a species occurrence, such that dates nearer to the last observation have heavier weights. Dates *with associated radiometric errors* (i.e., with standard deviations reported) are resampled from an underlying fossilization probability distribution, here assumed to be Gaussian.

Usage

GRIWM(df)

Arguments

df	A data frame or tibble, which must contain the variables 'dates' (radiometric dates) and 'sd' (their associated errors).

References

Method first described in Bradshaw et al. 2012; code modified from Saltre et al. 2015

Examples

output <- GRIWM(df)

sarakahanamoku/GRIWM documentation built on Nov. 5, 2019, 6:14 a.m.