texmex (version 2.1)

predictWorkers: Worker functions for prediction

Description

Worker functions not intended for direct use.

Usage

addCov(res, X)
texmexMakeParams(co, data)
texmexMakeCovariance(cov, data)
texmexPredictSE(x)
texmexMakeCI(params, ses, alpha)
texmexMakeNewdataD(x, newdata)
texmexMakeCISim(x, alpha, object, sumfun, M)

Arguments

res

The actual predictions to have covariates added.

X

A design matrix.

co

Model coefficients.

data

A list of design matrices.

cov

Full covariance matrix for all parameters.

x

A covariance matrix. Otherwise an "evm" object.

params

Matrix of parameter values.

ses

Standard errors.

alpha

100(1-alpha)% confidence intervals will be produced.

newdata

Data for which predictions are required.

object

An "evm" object.

sumfun

A function for summarizing data.

M

The return level required.

Value

Details

These are functions used for processing information by predict.evm and are not intended for end-user usage.