GlmEstimates-class {snpStats} | R Documentation

## Class "GlmEstimates"

### Description

A simple class to hold output from `snp.lhs.estimates` and `snp.rhs.estimates`. Its main purpose is to provide a `show` method

### Objects from the Class

Objects from this class are simple lists. Each element of the list is a list giving the results of a generalized linear model fit, with elements:

Y.var

  Name of the Y variable

beta

  The vector or parameter estimates (with their names)

Var.beta

  The upper triangle of the variance-covariance matrix of estimates, stored as a simple vector

N

  The number of "units" used in the model fit

### Extends

Class `"list"`, from data part. Class `"vector"`, by class "list", distance 2.

### Methods

[

  `signature(x = "GlmEstimates", i = "ANY", j = "missing", drop = "missing")`: Subset

coerce

  `signature(from = "GlmEstimates", to = "GlmTests")`: Calculate Wald tests

show

  `signature(object = "GlmEstimates")`: Display

### Note

Wald tests calculated by coercing an object of class `GlmEstimates` to class `GlmTests` are asymptotically equivalent to the "score" tests calculated by `snp.lhs.tests` and `snp.rhs.tests`, and both types of test are asymptotically correct. But the asymptotic properties of Wald tests are not as good as those of score tests and, in circumstances such as low sample size or low minor allele frequency, Wald and score tests may differ substantially. In general score tests are to be preferred, but Wald tests are provided in `snpStats` because they are widely used.

### Author(s)

David Clayton dc208@cam.ac.uk

### See Also

`snp.lhs.estimates`, `snp.rhs.estimates`

### Examples

    showClass("GlmEstimates")

[Package snpStats version 1.42.0 Index]