effect_null.manyglm | R Documentation |
effect_null
returns a coefficient matrix to be parsed to powersim
by default
to specify a null effect.
## S3 method for class 'manyglm'
effect_null(object, term)
effect_null(object, term)
object |
objects of class |
term |
Name of predictor of interest in quotes. |
effect_null
produces a coefficient matrix with a null effect that is specified by setting the parameter
estimates of a predictor of interest term
to 0. This function is used by default in powersim
.
Note that intercept values are parameterised as in effect_alt
.
A coefficient matrix with the null effect.
effect_null()
: Specify null effects for multivariate abundance data
effect_alt
, powersim
library(mvabund)
data(spider)
spiddat = mvabund(spider$abund)
X = data.frame(spider$x)
# Find null effect size for continuous predictor
spid.glm = manyglm(spiddat~soil.dry, family="negative.binomial", data=X)
coeffs0 = effect_null(spid.glm, term="soil.dry")
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