imputations_accuracy: Measure imputation accuracy

In thierrygosselin/grur: Imputations of RADseq data

Description

Use this function to measure imputations accuracy and track impact of different algorithms on simulated or biological datasets.

Usage

imputations_accuracy(obs, imp)

Arguments

obs	The original dataset prior to imputations. This can be simulated data.
imp	The imputed data with predicted genotyped values.

Value

A list with information that were dropped from the analysis. This can be populations, individuals and markers. The accuracy measure returned the misclassification error (ME). The ME is provided by populations, individuals, markers and overall.

Author(s)

Thierry Gosselin [e-mail]

Examples

## Not run: 
me.imputations <- imputations_accuracy(
obs = "sim.data",
imp = "imputed.data"
)

## End(Not run)

thierrygosselin/grur documentation built on Oct. 28, 2020, 5:48 p.m.