lcmm: WaldMult – R documentation

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WaldMult

Multivariate Wald Test

Description

This function provides multivariate and univariate Wald tests for combinations of parameters from hlme, lcmm, multlcmm or Jointlcmm models.

Usage

WaldMult(Mod, pos = NULL, contrasts = NULL, name = NULL, value = NULL)

Arguments

`Mod`	an object of class `hlme`, `lcmm`, `multlcmm` or `Jointlcmm`
`pos`	a vector containing the indices in Mod\$best of the parameters to test
`contrasts`	a numeric vector of same length as pos. If NULL (the default), a simultaneous test of the appropriate parameters is realised. If contrasts is specified, the quantity to test is the dot product of pos and contrasts.
`name`	a character containing the name the user wants to give to the test. By default, the name's test is the null hypothesis.
`value`	the value(s) to test against. By default, test against 0.

Value

If contrasts is NULL, the function returns a matrix with 1 row and 2 columns containing the value of the Wald test's statistic and the associated p-value.

If contrasts is not NULL, the function returns a matrix with 1 row and 4 columns containing the value of the coefficient (dot product of pos and contrasts), his standard deviation, the value of the Wald test's statistic and the associated p-value.

Author(s)

Cecile Proust-Lima, Lionelle Nkam and Viviane Philipps

lcmm

Extended Mixed Models Using Latent Classes and Latent Processes

v1.9.2

GPL (>= 2.0)

Authors

Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet

Initial release

2020-07-07