MLPE vs ML in lmer (landscape genetics)
1
0
Entering edit mode
8 weeks ago
RedSkyPlum • 0

I am trying to conduct some landscape genetics analysis by testing association between landscape resistance matrices and pairwise genetic distances using linear mixed models.

When I run lmer package, I am unable to incorporate MLPE (Maximum likelihood population effects - regularly referenced and used when conducting this analysis). I am unable to find how to run MLPE approach in lmer anywhere too.

Am I misunderstanding this, are they (MLPE and ML) the same thing as I appear to be able to run ML.

EDIT: Includes code:

model_5 <- lmer(Genetic.Distance ~ (1 | Topography),
                            data = file, REML = FALSE)
summary(model_5)

OUTPUT

Linear mixed model fit by maximum likelihood  ['lmerMod']
Formula: Genetic.Distance ~ (1 | Topography)
   Data: file

 AIC      BIC   logLik deviance df.resid 
-68399.5 -68377.3  34202.8 -68405.5    12087 

Any advice, guidance or resources on how to conduct MLPE in lme4 would be much appreciated!

Thanks in advance!

lmer landscape lme4 R genetics • 192 views
ADD COMMENT
0
Entering edit mode
8 weeks ago

They are the same thing.

ADD COMMENT

Login before adding your answer.

Traffic: 826 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6