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Repaired vignette index
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rvlenth committed Jul 9, 2024
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2 changes: 1 addition & 1 deletion vignettes/transformations.Rmd
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<!-- @index Transformations|Special modes;
`mode` argument!implied re-gridding;
Transformations|Implied re-gridding;
Re-gridding!Implied-->
Re-gridding!Implied -->
Some model classes provide special argument(s) (typically `mode`) that may cause
transformations or links to be handled early. For example, cumulative link
models for ordinal data allow for a `"prob"` mode that produces estimates of
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95 changes: 27 additions & 68 deletions vignettes/vignette-topics.Rmd
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### Jump to: [#](##) [[](#[) [<](#<) [A](#a) [B](#b) [C](#c) [D](#d) [E](#e) [F](#f) [G](#g) [H](#h) [I](#i) [J](#j) [K](#k) [L](#l) [M](#m) [N](#n) [O](#o) [P](#p) [Q](#q) [R](#r) [S](#s) [T](#t) [U](#u) [V](#v) [W](#w) [X](#x) [Y](#y) [Z](#z) {#topnav}
### Jump to: [A](#a) [B](#b) [C](#c) [D](#d) [E](#e) [F](#f) [G](#g) [H](#h) [I](#i) [J](#j) [K](#k) [L](#l) [M](#m) [N](#n) [O](#o) [P](#p) [Q](#q) [R](#r) [S](#s) [T](#t) [U](#u) [V](#v) [W](#w) [X](#x) [Z](#z) {#topnav}


* [## Link functions {#links}](transformations.html#regrid3)
* [[Back to Contents](#contents)](transformations.html#regrid3)
* <
* [-- ](transformations.html#regrid3)


### # {##}
### A {#a}


* [a probability scale, and whatever link was used (say, probit) has already been](transformations.html#regrid3)
* [accounted for, so is not "remembered" for possible later back-transformation. In](transformations.html#regrid3)
* [`add_grouping()`](utilities.html#groups)
* [`addl.vars`](sophisticated.html#random-slopes)
* `adjust`
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[Back to top](#topnav)

### [ {#[}
### B {#b}


* [Back-transforming](basics.html#transf)
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[Back to top](#topnav)

### < {#<}
### C {#c}


* [Causal inference](messy-data.html#counterfact)
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[Back to top](#topnav)

### A {#a}
### D {#d}


* [Degrees of freedom](sophisticated.html#dfoptions)
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[Back to top](#topnav)

### B {#b}
### E {#e}


* [`eff` contrasts](comparisons.html#contrasts)
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* [Manually computed](basics.html#refgrid)
* [Reference grid](basics.html#emms)
* [vs. ordinary marginal means](basics.html#emms)
* [estimating marginal means will be averages of the probabilities in the reference](transformations.html#regrid3)
* Examples
* [`auto.noise`](interactions.html#factors)
* [Bayesian model](sophisticated.html#mcmc)
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* [`InsectSprays`](transformations.html#insects)
* [`Insurance`](xplanations.html#offsets)
* [Insurance claims (SAS)](sophisticated.html#offsets)
* Logistic regression
* [in *transformations: links*](transformations.html#links)
* [in *transformations: regrid3*](transformations.html#regrid3)
* [Logistic regression](transformations.html#links)
* [`lqs` objects](xtending.html#lqs)
* [`MOats`](basics.html#multiv)
* `mtcars`
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* `neuralgia`
* [`counterfactuals`](messy-data.html#neuralgia)
* [in *transformations: links*](transformations.html#links)
* [in *transformations: regrid3*](transformations.html#regrid3)
* [in *transformations: trangraph*](transformations.html#trangraph)
* [`nutrition`](messy-data.html#nutrex)
* [`submodel`](messy-data.html#submodels)
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[Back to top](#topnav)

### C {#c}
### F {#f}


* *F* test
* [vs. pairwise comparisons](FAQs.html#anova)
* [Role in *post hoc* tests](basics.html#recs1)
* Factors
* [Mediating](messy-data.html#weights)
* [for getting estimates on a scale that is desired, but they also force](transformations.html#regrid3)
* [Formatting results](basics.html#formatting)
* [Foundations of EMMs](basics.html#found)
* [Frequently asked questions](FAQs.html)


[Back to top](#topnav)

### D {#d}
### G {#g}


* [G-Computation](messy-data.html#counterfact)
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* [`glm`*xxx* models](models.html#G)
* [`gls` models](models.html#K)
* [Graphical displays](basics.html#plots)
* [grid](transformations.html#regrid3)
* [Grouping factors](utilities.html#groups)
* [Grouping into separate sets](confidence-intervals.html#byvars)


[Back to top](#topnav)

### E {#e}
### H {#h}


* [Hook functions](xtending.html#hooks)
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[Back to top](#topnav)

### F {#f}
### I {#i}


* [Indicator variables](basics.html#RG)
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[Back to top](#topnav)

### G {#g}
### J {#j}


* [`joint`](confidence-intervals.html#joint)
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[Back to top](#topnav)

### H {#h}
### K {#k}


* [`kable`](basics.html#formatting)
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[Back to top](#topnav)

### I {#i}
### L {#l}


* Labels
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[Back to top](#topnav)

### J {#j}
### M {#m}


* [`make.tran()`](transformations.html#special)
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* [Large](messy-data.html#nuisance)
* [Quick reference](models.html#quickref)
* [Unsupported](FAQs.html#qdrg)
* [models for ordinal data allow for a `"prob"` mode that produces estimates of](transformations.html#regrid3)
* [Multi-factor studies](FAQs.html#interactions)
* [Multinomial models](models.html#N)
* [Multiple imputation](models.html#I)
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[Back to top](#topnav)

### K {#k}




[Back to top](#topnav)

### X {#x}
### N {#n}


* [`NA`s in the output](FAQs.html#NAs)
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[Back to top](#topnav)

### L {#l}
### O {#o}


* Observational data
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[Back to top](#topnav)

### M {#m}
### P {#p}


* *P* values
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* [Posterior predictive distribution](sophisticated.html#predict-mcmc)
* [Reference grid](predictions.html#ref-grid)
* [Total SD](predictions.html#feedlot)
* [preempting any timing choices you might otherwise have made about handling the](transformations.html#regrid3)
* [`print.summary_emm()`](basics.html#emmobj)
* [probabilities for each ordinal level. The reference grid comprises estimates on](transformations.html#regrid3)
* Probit regression
* [Odds or risk ratios](transformations.html#not-logit)
* [`pwpm()`](comparisons.html#pwpm)
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[Back to top](#topnav)

### N {#n}
### Q {#q}


* [`qdrg()`](FAQs.html#qdrg)
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[Back to top](#topnav)

### O {#o}
### R {#r}


* [R-squared](basics.html#pigs)
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* [`regrid` vs. `type`](transformations.html#regrid2)
* [to obtain risk ratios](transformations.html#riskrats)
* [`transform = "log"`](transformations.html#logs)
* [`regrid()` that takes place *at the time the reference grid is constructed*,](transformations.html#regrid3)
* [Residual plots](basics.html#pigs)
* [Response scale](confidence-intervals.html#tran)
* [Response transformations](basics.html#transf)
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[Back to top](#topnav)

### P {#p}
### S {#s}


* [Sample size, displaying](confidence-intervals.html#summary)
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* [Sidak adjustment](confidence-intervals.html#adjust)
* Significance
* [Assessing](basics.html#pvalues)
* [Similar things happen with certain options with multinomial models,](transformations.html#regrid3)
* [`simple = "each"`](confidence-intervals.html#simple)
* Simple comparisons
* [in *confidence-intervals: simple*](confidence-intervals.html#simple)
* [in *FAQs: interactions*](FAQs.html#interactions)
* [in *interactions: simple*](interactions.html#simple)
* [Simpson's paradox](basics.html#emms)
* [so they will be different than what you would have obtained by keeping](transformations.html#regrid3)
* [Some model classes provide special argument(s) (typically `mode`) that may cause](transformations.html#regrid3)
* `specs`
* [Formula](comparisons.html#formulas)
* [Standardized response](transformations.html#stdize)
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[Back to top](#topnav)

### Q {#q}
### T {#t}


* [*t* tests vs. *z* tests](FAQs.html#asymp)
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* [Noninferiority](confidence-intervals.html#equiv)
* [Nonzero null](confidence-intervals.html#summary)
* [One- and two-sided](confidence-intervals.html#summary)
* [that sense, when we use `mode = "prob"`, it is sort of like an implied call to](transformations.html#regrid3)
* [the link scale.](transformations.html#regrid3)
* [things on the link scale and then computing the probabilities after averaging on](transformations.html#regrid3)
* [Too few means](AQuickStart.html#covar)
* [transformation. If there are one or more factors that are averaged over in](transformations.html#regrid3)
* [Transformations](basics.html#transf)
* [Adding after the fact](transformations.html#after)
* [Auto-detected](transformations.html#auto)
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* [`scale()`](transformations.html#stdize)
* [Standardizing](transformations.html#stdize)
* [Timing is everything](transformations.html#timing)
* [transformations or links to be handled early. For example, cumulative link](transformations.html#regrid3)
* [Transformations|Implied re-gridding](transformations.html#regrid3)
* [Transformations|Special modes](transformations.html#regrid3)
* Trends
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[Back to top](#topnav)

### R {#r}
### U {#u}


* [Unadjusted tests](confidence-intervals.html#adjmore)
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[Back to top](#topnav)

### S {#s}
### V {#v}


* [Variables that are not predictors](basics.html#params)
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* [FAQS](FAQs.html)
* [Interactions](interactions.html)
* [Messy data](messy-data.html)
* [Models](models.html)
* [Predictions](predictions.html)
* [Sophisticated models](sophisticated.html)
* [Transformations and link functions](transformations.html)
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[Back to top](#topnav)

### T {#t}
### W {#w}


* Weighting
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[Back to top](#topnav)

### U {#u}
### X {#x}


* [`xtable` method](basics.html#formatting)


[Back to top](#topnav)

### V {#v}


* [you to obtain marginal means of measurements already on that scale.](transformations.html#regrid3)


[Back to top](#topnav)

### W {#w}
### Z {#z}


* [*z* tests](sophisticated.html#dfoptions)
* [vs. *t* tests](FAQs.html#asymp)
* [zero-inflated, or hurdle models. Those special modes are a great convenience](transformations.html#regrid3)
* [`zeroinfl` models](models.html#C)


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