Warning
: Undefined variable $raw_excerpt in
/home/quantdev/thechangelab.stanford.edu/wp-content/themes/lagunita-theme/Lagunita.php
on line
2123
K: Specifying generalized linear models in R | The Change Lab
Skip to content
The Change Lab
Menu
Search form
Search term
Home
About Us
Our Team
Lab Mission
Lab Values
Tutorials
Bayesian Methods
Dynamic Dyadic Systems
Growth Modeling
Intensive Longitudinal Analysis
Longit. Design & Data Analysis
Measurement of Change
Power Analysis
Psychophysiological Synchrony
Collaborations
The AMIB Data
The Cortisol Data
Data Musik
iSAHIB
Screenomics
Publications
News & Updates
Joining The Change Lab
Student Corner
K: Specifying generalized linear models in R
Tags:
AMIB
,
HTML
,
R
,
Video
,
count outcomes
,
dplyr
,
generalized linear models
,
generalized multilevel models
,
ggplot2
,
interpolating data
,
link function
,
lme4
,
multilevel models
,
plyr
,
poisson distribution
,
poisson model
,
psych
,
scatterplot
,
state
,
trait
,
unconditional means model
,
within−person association plot
Home
|
Tutorials
|
Intensive Longitudinal Analysis
|
K: Specifying generalized linear models in R
Files
Session K – Lab – Generalized MLM.pdf
Modeling Count Outcomes using the Generalized Multilevel Model
