Hypothesis {MAST} | R Documentation

## Describe a linear model hypothesis to be tested

### Description

A `Hypothesis` can be any linear combination of coefficients, compared to zero. Specify it as a character vector that can be parsed to yield the desired equalities ala `makeContrasts`. A `CoefficientHypothesis` is a hypothesis for which terms are singly or jointly tested to be zero (generally the case in a t-test or F-test), by dropping coefficients from the model.

### Usage

    Hypothesis(hypothesis, terms)

### Arguments

`hypothesis` | a character vector specifying a hypothesis, following makeContrasts, or a character vector naming coefficients to be dropped.
`terms` | an optional character vector giving the terms (column names from the `model.matrix`) out of which the contrasts will be contrasted. If missing then most functions will attempt to fill this in for you at run time.

### Value

a Hypothesis with a "transformed" component

### See Also

zlm waldTest lrTest

### Examples

    h <- Hypothesis('Stim.ConditionUnstim', c('(Intercept)', 'Stim.ConditionUnstim'))
    h@contrastMatrix

[Package MAST version 1.16.0 Index]