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List:       r-sig-mixed-models
Subject:    Re: [R-sig-ME] Fwd: lme4
From:       Ben Bolker <bbolker () gmail ! com>
Date:       2020-06-24 16:58:54
Message-ID: 440a0667-2933-cfe0-e9e6-d390ba73befb () gmail ! com
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    If you really, really want these standard errors, I believe you can 
now get the from the merDeriv package (on CRAN). See ?merDeriv::vcov.lmerMod


I'd be very careful with this though!  It gives a standard


On 6/24/20 11:00 AM, Phillip Alday wrote:
> This is generally not advisable because the sampling distribution of the
> variances is highly skewed. This means that the standard error isn't a
> particularly informative statistic.
>
> This has been discussed in various amounts of detail in various places,
> but a good starting point (with examples and links) is this question on
> CrossValidated: https://stats.stackexchange.com/q/161225/26743
>
> For a concrete recommendation, I would use either profile or bootstrap
> confidence intervals instead of standard errors. You can compute these
> with confint(model, method="profile") or confint(model, method="boot").
> For more information, see:
> http://search.r-project.org/R/library/lme4/html/confint.merMod.html
>
> Best,
>
> Phillip
>
>
> On 24/6/20 2:30 pm, Azra Ramezankhani wrote:
>>> Hi
>>>
>>>
>>> How can we calculate standard errors for variance components of random
>>> effects when fitting a mixed-effects model using the lme4 package?
>>>
>>>
>>> Azra Ramezankhani
>>>
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