Contents

schemaLm

Association schema for Gaussian linear regression ("lm")

Column and artifact contract for results of linear regression on a continuous outcome.

Usage

schemaLm()

A PolyGeniusSchema for the "lm" analysis type.

Column	Status	Type	Meaning
`.fit`	required	integer	Integer key joining the row to the per-fit `$fits` lookup.
`fit.id`	required	character	Identifier of the fit the row came from.
`schema`	required	character	Name of the schema the row follows.
`family`	required	character	Fitted regression or comparison family.
`outcome`	required	character	Outcome label.
`predictor`	required	character	Predictor label.
`interaction`	required	character
`covariates`	required	character	Covariates adjusted for.
`term`	required	character	Coefficient term the row describes.
`term.type`	required	character	Kind of coefficient term.
`stratum`	required	character	Stratum the fit was run in.
`formula`	required	character	Model formula of the fit.
`estimate`	required	numeric	Point estimate, on the scale given by `effect.scale`.
`se`	required	numeric	Standard error of the estimate.
`lower`	required	numeric	Lower interval bound.
`upper`	required	numeric	Upper interval bound.
`statistic`	required	numeric	Test statistic.
`pval`	required	numeric	Raw p-value.
`adj.pval`	required	numeric	p-value adjusted within its declared adjustment family.
`adj.family.id`	required	integer	Key into `$indices$multiplicity`, the adjustment family `adj.pval` came from.
`n`	required	numeric	Sample size.
`effect.scale`	required	character	Scale of `estimate`, one of the controlled `effect.scale` vocabulary.
`test`	required	character
`outcome.type`	optional	character
`reference.level`	optional	character
`contrast.level`	optional	character

Artifact	Status	Federation-safe	Meaning
`prediction.grid`	optional	yes	Synthetic covariate grid of `grid.resolution` points.

Allowed plots: forest, landscape (default forest).

Role	Columns
Keys	`family`, `outcome`, `predictor`, `term`, `term.type`, `stratum`, `effect.scale`, `test`
Counts	`n`
Means	none