Index of vignette topics

Jump to: A B C D E F G H I J K L M N O P Q R S T U V W Z

A

• add_grouping()
• adjust
  • in comparisons: pairwise
  • in confidence-intervals: adjust
• Analysis of subsets of data
• Analysis of variance
  • versus pos hoc comparisons
  • Type III
• Annoying messages
• aovList objects
• as.data.frame()
• as.mcmc()
  • in models: S
  • in sophisticated: bayesxtra
• Asymptotic tests

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B

• Back story of emmeans
• Bayesian models
  • in models: S
  • in sophisticated: mcmc
• bayesplot package
• Beta regression
• betareg models
• Bonferroni adjustment
• [ ] and [[ ]] operators
• brmsfit objects
• by groups
  • Identical comparisons

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C

• CLD()
  • versus multcomp::cld()
• clm models
• coda package
• coef()
• Comparisons
  • Back-transforming
  • Displaying as groups
  • Graphical
  • with logs
• Confidence intervals
• confint()
• consec contrasts
• contrast()
  • adjust
  • Changing defaults
  • combine
  • interaction
  • Linear functions
  • simple
    • in confidence-intervals: simple
    • in interactions: simple
• Contrasts
  • of other contrasts
  • Custom
  • Formula
  • Pairwise
  • Polynomial
  • Tests of
    • with transformations
• convert_scripts()
• convert_workspace()
  • in FAQs: namespace
  • in transition-from-lsmeans: workspaces
• Count regression
• cov.reduce
• Covariates
  • Adjusted
  • Derived
  • emmeans() doesn’t work
  • Interacting with factors
  • Mediating

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D

• Degrees of freedom
  • Infinite
• Dunnett method

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E

• eff contrasts
• emm_basis()
  • Arguments and returned value
  • Hook functions
  • for lqs objects
  • for rsm objects
• emm_list object
• emm_options()
• .emmc functions
• emmeans package
  • Exporting extensions to
  • Exports useful to developers
• emmeans()
  • Changing defaults
  • Surprising results from
  • weights
    • in basics: weights
    • in messy-data: weights
  • With transformations
• emmGrid objects
  • Accessing data
  • Combining and subsetting
  • Modifying
  • Setting defaults for
• emmip()
  • in basics: plots
  • in interactions: factors
• EMMs
  • Appropriateness of
  • What are they?
• emtrends()
• estHook
• Estimability
  • in FAQs: NAs
  • in messy-data: nonestex
• Estimated marginal means
  • Defined
• Examples
  • auto.noise
  • Bayesian model
  • cbpp
  • cows
  • framing
  • Gamma regression
  • Insurance claims (SAS)
  • Logistic regression
  • lqs objects
  • MOats
  • mtcars
  • Multivariate
  • Nested fixed effects
  • neuralgia
  • nutrition
  • Oats
  • oranges
    • in comparisons: formulas
    • in interactions: covariates
  • Ordinal model
  • pigs
  • rlm objects
  • Robust regression
  • Split-plot experiment
  • Unbalanced data
  • warpbreaks
  • wine

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F

• F test
  • vs. pairwise comparisons
• Factors
  • Mediating
• Frequently asked questions

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G

• gamlss models
• GEE models
• Generalized linear models
• get_emm_option()
• ggplot2 package
• glmxxx models
• gls models
• Graphical displays
• Grouping factors
• Grouping into separate sets

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H

• Hook functions
• hpd.summary()
• hurdle models

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I

• Infinite degrees of freedom
• Interactions
  • Analysis
  • Contrasts
  • Covariate with factors
  • Plotting
  • Possible inappropriateness of marginal means

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J

• joint
• joint_tests()
  • in confidence-intervals: joint_tests
  • in interactions: contrasts

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K

• Kenward-Roger d.f.

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L

• Least-squares means
• Linear functions
• Link functions
• lme models
• lmerMod models
  • in models: L
  • in sophisticated: lmer
  • System options for
• Logistic regression
  • Odds ratios
  • Surprising results
• lsmeans
• lsmeans package
  • Converting scripts
  • Converting workspaces
  • Information for package developers
  • Transitioning from

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M

• make.tran()
• mcmc objects
• Means
  • Cell
  • Marginal
    • Based on a model
    • of cell means
  • Weighted
    • in basics: eqwts
    • in basics: weights
• Mediating covariates
• mlm models
• Models
  • Quick reference
• Multi-factor studies
• Multinomial models
• Multiplicity adjustments
• Multivariate models
  • in basics: multiv
  • in models: M
• Multivariate t ("mvt") adjustment
• mvtnorm package

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N

• NA results
• Nesting
  • Auto-detection
• Nesting factors
  • Creating
• Non-estimability
• NonEst results

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O

• Observational data
• Odds ratios
• Offsets
• Options
• Ordinal models
  • Latent scale
  • Linear-predictor scale
  • in models: O
  • prob and mean.class
  • in sophisticated: ordinal

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P

• pairs()
• Pairwise comparisons
• pairwise contrasts
• plot.emmGrid()
• Plots
  • of confidence intervals
  • of EMMs
  • Interaction-style
• + operator
• Poisson regression
  • Surprising results
• polreg models
• Polynomial regression
• postGridHook
• print.summary_emm()

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Q

• Quadratic terms

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R

• rbind()
• recover_data()
  • data and params arguments
  • Error handling
  • for lqs objects
  • for rsm objects
• ref_grid()
  • at
  • cov.reduce
  • mult.name
  • nesting
  • offset
• Reference grids
  • Altering
• Registering recover_data and emm_basis methods
• regrid()
  • transform = "log"
  • transform vs. type
• Response scale
• revpairwise contrasts
• rsm package
• rstanarm

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S

• Satterthwaite d.f.
  • in models: K
  • in models: L
• Selecting results
• Sidak adjustment
• simple = "each"
• Simple comparisons
  • in confidence-intervals: simple
  • in FAQs: interactions
  • in interactions: simple
• specs
  • Formula
• stanreg objects
• * gazing
• str()
• Subsets of data
• summary()
  • adjust
  • Bayesian models
  • HPD intervals
  • infer
    • in comparisons: pairwise
    • in confidence-intervals: summary
  • type = "unlink"
• summary_emm object
  • As a data frame

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T

• t tests vs. z tests
• test()
  • delta
  • joint = TRUE
• Tests
  • Equivalence
  • Noninferiority
  • Nonzero null
  • One- and two-sided
• Transformations
  • Adding after the fact
  • Back-transforming
  • Custom
  • Faking a log transformation
  • with link function
  • Log
  • Overview
  • Re-gridding
  • Timing is everything
• Trends
  • Estimating and comparing
• trt.vs.ctrl contrasts
• Tukey adjustment
• type
• Type III tests
  • in confidence-intervals: joint
  • in confidence-intervals: joint_tests

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U

• Unadjusted tests
• University administration
• update()
  • tran
• Using results

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V

• vcovHook
• Vignettes
  • Basics
  • Comparisons
  • Confidence intervals and tests
  • Extending emmeans
  • FAQS
  • Interactions
  • Messy data
  • Models
  • Sophisticated models
  • Transformations and link functions
  • Transitioning from lsmeans
  • Utilities and options

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W

• weights

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Z

• z tests
  • vs. t tests
• zeroinfl models

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Index generated by the vigindex package.