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)
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!