Display basic summary information in a tabular form.

get.predinfo() has been deprecated. Information given is now provided in the basic print of a predict.slmfit() object. Creates a list of tables that shows the prediction, standard error, and confidence interval for the prediction, as well as some summary information about the sample.

get.predinfo(x, conf_level = 0.9)

Arguments

x

the output of the predict.slmfit() function, of class predict.slmfit

conf_level

is the confidence level for a normal-based confidence interval (default = 0.90).

Value

a list of three tables, including

• simptab, which contains the prediction and its standard error,

• confbounds, which contains a confidence interval for the prediction, and

• outptmat, a table of sampling information, including the number of sites sampled, the total number of sites, the total observed response, and the observed average density (equal to the average response if all site areas are equal).

Examples

data(exampledataset) ## load a toy data set
slmobj <- slmfit(formula = counts ~ pred1 + pred2, data = exampledataset,
xcoordcol = 'xcoords', ycoordcol = 'ycoords', areacol = 'areavar')
predobj <- predict(slmobj)
## Not Run
## get.predinfo(predobj)