Table 2 RMSE values for all filtering scenarios for LD-based analysis in NeEstimator under a stable population (λ = 1.0)

From: Estimation of contemporary effective population size and population declines using RAD sequence data

  

LD RAD mutation

10% missing data

50% missing data

  

(&P crit level)

(&P crit level)

(&P crit level)

  

0.01

0.02

0.05

0.01

0.02

0.05

0.01

0.02

0.05

N = 250

n = 15

2.73E−03

2.73E−03

2.95E−03

3.41E−03

3.41E−03

2.73E−03

3.68E−03

3.68E−03

2.70E−03

 

n = 30

1.41E−03

1.10E−03

1.25E−03

1.55E−03

1.11E−03

1.18E−03

1.532E−03

1.11E−03

1.23E−03

 

n = 60

6.88E−04

6.17E−04

6.10E−04

1.55E−03

1.11E−03

1.18E−03

1.53E−03

1.11E−03

1.23E−03

N = 500

n = 15

Inf.

Inf.

1.60E−03

Inf.

Inf.

1.54E−03

Inf.

Inf.

1.62E−03

 

n = 30

9.65E−04

7.98E−04

8.41E−04

1.16E−03

7.79E−04

8.06E−04

1.16E−03

7.79E−04

8.15E−04

 

n = 60

4.59E−04

4.63E−04

4.40E04

4.99E−04

4.56E−04

4.54E−04

5.02E−04

4.47E−04

4.43E−04

N = 1000

n = 15

Inf.

Inf.

1.99E−03

Inf.

Inf.

1.84E− 03

Inf.

Inf.

1.87E−03

 

n = 30

6.65E−04

7.76E−04

8.90E−04

8.03E−04

7.44E−04

7.87E−04

8.23E−04

7.32E−04

8.14E−04

 

n = 60

3.01E−04

3.14E−04

3.04E−04

8.03E−04

7.44E−04

7.87E−04

8.23E−04

7.32E−04

8.14E−04

  1. Bold values identify the lowest RMSE for a particular combination of population size (N), individual sampling level (n), and minor allele frequency cutoff (P crit). Bold and italicized values identify the lowest RMSE for a particular population size. RMSE was not estimated if over 50% of the estimates of \(\widehat N_{\rm e}\) reached infinity for a particular parameter combination (Inf.)