Model to Meaning
Quick start
Article
Help
Documentation
R
Python
R
Python
IV: Bonus content
34
Meme gallery
Home
What is this book about?
I: Interpretation
1
Models and meaning
2
Tools for
R
and
Python
3
Data
4
Conceptual framework
II: Quantities and tests
5
Hypothesis and equivalence
6
Predictions
7
Counterfactual comparisons
8
Slopes
III: Case studies
9
Interactions, polynomials, and splines
10
Categorical and ordinal outcomes
11
Mixed effects regression and post stratification
IV: Bonus content
Quick start
12
Plots
13
FAQ
14
Help
15
Alternative Software
16
Bootstrap & Simulation
17
Bayes
18
Conformal prediction
19
Conjoint experiments
20
Elasticity
21
Equivalence Tests
22
Experiments
23
Extensions
24
GAM
25
G-Computation
26
Heterogeneity
27
Hypothesis Tests
28
Inverse Probability Weighting
29
Links
30
Mixed Effects
31
Logit
32
Marginal Means
33
Matching
34
Meme gallery
35
NumPyro
36
Performance
37
Supported Models
38
S Values
39
Tables
40
Standard Errors
V: Back matter
41
Python
42
Bibliography
Citation and License
IV: Bonus content
34
Meme gallery
34
Meme gallery
meme a
meme c
meme b
meme d
meme e
Source:
(
dan_p_simpson?
)
33
Matching
35
NumPyro
