Skip to content

convergence

4 messages · Thierry Onkelinx, Souheyla GHEBGHOUB

#
Should I "ignore" or get "too concerned" about this warning?

Model failed to converge with max|grad| = 0.00542358 (tol = 0.001,
component 1)
#
This is like calling a doctor and asking "my leg hurts, how bad is it?". A
doctor needs to physically examine your leg before drawing conclussions.
Likewise we need much more context about your model before we can give you
any advise.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op vr 21 dec. 2018 om 15:44 schreef Souheyla GHEBGHOUB <
souheyla.ghebghoub at gmail.com>:

  
  
#
Update on context:
Aim: estimating the association between (1) responses accuracy and (2)
time, groups, and 7 word-covariates.

I included 2 covariates in the interactions with group & Time.
Number of observations : 5800

glmer(
  *Response* ~ Characters + Band_freq + Imageability + Cognateness +
Syllables + *Group*Time*PoS* + *Group*Time*Verbal_freq *
+ (Time|Subject) + (Time| Word),
glmerControl(optimizer="bobyqa", optCtrl = list(maxfun = 2e5)), data =
written.Form.data
  family = 'binomial'

On Fri, 21 Dec 2018 at 14:46, Souheyla GHEBGHOUB <
souheyla.ghebghoub at gmail.com> wrote:

            

  
  
#
Quasi complete separation is one of the things that might cause the
convergence problems. You'll need to investigate whether any combination of
your covariates causes (quasi) complete separation. If it is in the fixed
effect, you'll need to simplify the model. If it is a single random effect
level, then you can get away with it.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op vr 21 dec. 2018 om 16:22 schreef Souheyla GHEBGHOUB <
souheyla.ghebghoub at gmail.com>: