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Prediction intervals for generalized least squares model with heteroscedastic errors

I wanted to model some data with heteroscedastic errors using a gls model of the form ...
Tom Wenseleers's user avatar
4 votes
0 answers
2k views

Profile likelihood confidence intervals = (-Inf Inf) in a glmer {lme4_1.1-7}

I fitted a mixed logit model with crossed random effects in lme4_1.1-7::glmer (R version 3.1.1 / OS X 10.9.4 Mavericks). Had to simplify the maximal random-effect ...
exfalso's user avatar
  • 133
3 votes
0 answers
337 views

How to calculate prediction confidence intervals for estimated mixed model change scores varying per a continuous predictor, using "lme4" in R

The Setup I am employing a linear mixed model in R using the packages "lme4" and "lmerTest." In modeling my predicted variable, I have two time indicators set as fixed and random effects: one time ...
ferd_j's user avatar
  • 31
2 votes
0 answers
84 views

Interpreting interactions of mixed model estimates correctly?

I have data of the following form: ...
theforestecologist's user avatar
2 votes
0 answers
72 views

The slope of a mixed model

I want to know whether x2 is better than x1 in explaining y. My data frame looks like: <...
Rebecca's user avatar
  • 51
2 votes
0 answers
309 views

Generating predicted mean values and CIs across different groups in lme4

I’ve run a mixed-effects model with crossed random effects in glmer and ultimately want to show a bar graph depicting mean predicted values (and associated confidence intervals) across years within ...
Jessica's user avatar
  • 21
2 votes
0 answers
886 views

Calculating means and confidence intervals for groups with multiple observations in each subject using the NLME package in R

I need your help to identify group means and calculate the corresponding 95% confidence intervals for a set of independent samples with 2 dependent observations within each of those samples. I'm using ...
user53755's user avatar
2 votes
0 answers
1k views

Recovery of Standard Errors of Random Effects in Lmer

I'm analysing data with a nested structure with the lmer-function of the lme4 package in R. I'm interested in the estimation of ...
Abe's user avatar
  • 21
1 vote
0 answers
117 views

bootstrapped confidence interval for glmer model with identity link

In an experiment Subjects decide as fast as possible whether letter strings presented on screen are real Words or non-words and reaction time (RT) in milliseconds is recorded. We want to know for ...
Jorge Witman's user avatar
1 vote
1 answer
192 views

Non significant difference between condition from LME model, when Confidence intervals clearly non overlapping

Edit with graph: I am struggling a bit conceptually to make sense of a result I get when applying a linear mixed model to my reaction time data. I have a 2x2 within subjects design. When I plot the ...
SinC's user avatar
  • 21
1 vote
0 answers
38 views

Limitations with effect sizes and confidence intervals (fixed effects) with lmer and effectsize in R

Background I've been running a couple of lmer() models with different data and noticed something I cannot really grasp. The models range from simple to more complicated (e.g. DV ~ ...
littlekook3's user avatar
1 vote
0 answers
236 views

Confidence Intervals for ICC

I was wondering if anyone might know of a way to calculate confidence intervals around an ICC(1) value? I'm running a multilevel model using the lmer() function in lme4 where I'm interested in seeing ...
user360342's user avatar
1 vote
0 answers
725 views

The ggpredict function returns incomplete confidence intervals for a linear mixed midel with an interaction

I am trying to create a plot showing the LMM prediction with confidence intervals using the ggpredict function from the ggeffect ...
Bartosz Dawidowski's user avatar
1 vote
0 answers
133 views

Bootstrap confidence intervals for betas in a linear mixed model

I am trying to calculate bootstrap intervals for my beta coefficients in linear mixed effect models. I used the lme()function from the ...
a.henrietty's user avatar
1 vote
0 answers
29 views

Simulated estimate from a linear mixed model with random intercepts

I wanted to see if there was a quick way to get a bootstrapped parameter estimate and CI using confint() from merTools? ...
Logan Brooks's user avatar
1 vote
0 answers
385 views

confidence intervals for GLMER model

I'm trying to calculate confidence intervals for GLMER model. I heard that there are two ways I could do it: Number 1: exp(Estimate Std + 1.96 * Std Error) exp(ES - 1.96* Std Error) Number 2: m&...
Tasha's user avatar
  • 47
1 vote
0 answers
181 views

Calculate confidence intervals for population estimates when spatially applying GLMM across a large region

What I'd like to calculate: I'm using glmer (lme4) with a poisson distribution to estimate a bird's total population across a large region (i.e. sum predictions). I'd like to obtain confidence ...
Kevin's user avatar
  • 193
1 vote
0 answers
563 views

How to calculate confidence intervals of lmer estimates using Parametric Bootstrap when variable has been transformed?

Parametric bootstraps are considered the gold standard to compute confidence intervals for linear mixed effects models. I think they also allow for easy re-transformation of model predictions to the ...
bee guy's user avatar
  • 1,029
1 vote
0 answers
645 views

Bootstrapped confidence intervals for predicted probabilities seem too small (using glmer in lme4)

I am using logistic regression to examine factors affecting female reproductive status (0=inactive, 1=active) in a rodent species. My top model includes the fixed effect of "year" and a random ...
FCassidy's user avatar
1 vote
0 answers
512 views

95% CI in nonlinear mixed-effect model {lme4} with two or more crossed random effects

I have fisheries-independent data and am interesting in estimating maturity patterns across 50 lakes that are sampled (with bias) by 4 types of gear-collections. The sampling pattern is very ...
Kyle W's user avatar
  • 11
0 votes
0 answers
103 views

Plotting confidence and means from logistic regression in ggplot2

My data are for an experiment asking participants to detect a tone (Response= 1 or 0) in different (within-participant) conditions. I am interested in how participants' scores on separate ...
SilvaC's user avatar
  • 542
0 votes
0 answers
45 views

Reconciling: A mixed model with random effect shows significant differences in fixed effects but has overlapping CI?

I'm trying to reconcile with a mixed model with random effect shows significant differences in fixed effects but has overlapping confidence intervals. Here is data computing temperature of litterfall ...
RPlotter's user avatar
0 votes
0 answers
112 views

glmer r significant slope but bootstrap confidence interval includes zero

I am running a generalized linear mixed model in r using glmer. The slope (year) from the model is significant (<0.05), however, when I bootstrap the slope to get the confidence interval it ...
Dave's user avatar
  • 11
0 votes
0 answers
168 views

lmer with random effects shows insignificant interaction term despite confidence intervals not overlapping

I am trying to interpret an analysis on urchin biomass and how the means differ between 2 sites (Waikiki and Hanauma Bay) and 2 experimental treatments (low and high shelter). Because of the nature ...
Eric Dilley's user avatar
0 votes
0 answers
1k views

GLMM. Why are my confidence intervals so wide when my p-values are so small?

I am trying to find out whether there is a significant effect of Treatment (factor with 3 levels: GR, BC and WF) on the number of moths captured per night in a field experiment. I have 15 Blocks that ...
Dan's user avatar
  • 41
0 votes
0 answers
95 views

R - zero biased data, glmer.nb, properly counting confidence intervals

any suggestions how to count confidence intervals from zero biased data? I've counted generalized linear model using glmer.nb function. I have to make graph but I was told that confidence intervals ...
Jakub Horák's user avatar