anova.lcx: Analysis of Deviance for lcx model fits
In abilouhill/LC50: Estimate LC50 in the presence of additional stressors

Description Usage Arguments Details Value

Compute an analysis of deviance table for an LCx model fit.

## S3 method for class 'lcx'
anova(object, ..., test = NULL)

## S3 method for class 'lcxlist'
anova(object, ..., test = NULL)

`object`	An object of class `lcx`, usually obtained as the results from a call to `lcx`.
`...`	Additional objects of class `lcx`.
`test`	A character string, partially matching one of "`LRT`", "`Chisq`", or "`Cp`". See `link{stat.anova}`.

Specifying a single object gives a sequential analysis of deviance table for that fit. That is, the reductions in the residual deviance as each term of the formula is added in turn are given in as the rows of a table, plus the residual deviances themselves.

If more than one object is specified, the table has a row for the residual degrees of freedom and deviance for each model. For all but the first model, the change in degrees of freedom and deviance is also given. (This only makes statistical sense if the models are nested.) It is conventional to list the models from smallest to largest, but this is up to the user.

When test is "LRT" or "Chisq" the table will contain test statistics (and P values) comparing the reduction in deviance for the row to the residuals.

An object of class anova inheriting from class data.frame.

abilouhill/LC50 documentation built on May 10, 2019, 4:10 a.m.