# methods-mitml.testEstimates: Summarize and extract pooled parameter estimates In mitml: Tools for Multiple Imputation in Multilevel Modeling

 confint.mitml.testEstimates R Documentation

## Summarize and extract pooled parameter estimates

### Description

Functions for extracting results and computing confidence intervals from the pooled parameter estimates computed with `testEstimates`.

### Usage

```
## S3 method for class 'mitml.testEstimates'
coef(object, ...)
## S3 method for class 'mitml.testEstimates'
vcov(object, ...)
## S3 method for class 'mitml.testEstimates'
confint(object, parm, level = 0.95, ...)

```

### Arguments

 `object` An object of class `mitml.testEstimates` as produced by `testEstimates`. `parm` (optional) A reference to the parameters for which to calculate confidence intervals. Can be a character or integer vector denoting names or position of parameters, respectively. If missing, all parameters are considered (the default). `level` The confidence level. Default is to `0.95` (i.e., 95%). `...` Not being used.

### Details

These functions can be used to extract information and compute additional results from pooled parameter estimates. The `coef` and `vcov` methods extract the pooled parameter estimates and their pooled variance-covariance matrix (with the squared standard errors in the diagonal). The `confint` method computes confidence intervals with the given confidence level for the pooled parameters on the basis of a t-distribution, with estimates, standard errors, and degrees of freedom as returned by `testEstimates`.

### Value

For `coef`: A vector containing the pooled parameter estimates For `vcov`: A matrix containing the pooled variance-covariance matrix of the parameter estimates. For `confint`: A matrix containing the lower and upper bounds of the confidence intervals.

### Author(s)

Simon Grund

`testEstimates`

### Examples

```data(studentratings)

imp <- panImpute(studentratings, formula = fml, n.burn = 500, n.iter = 100, m = 5)

implist <- mitmlComplete(imp)

# fit regression model
est <- testEstimates(fit)

# extract parameter estimates and variance-covariance matrix
coef(est)
vcov(est)

# compute confidence intervals
confint(est)

# ... with different confidence levels
confint(est, level = 0.90)
confint(est, level = 0.999)
```

mitml documentation built on Jan. 6, 2023, 5:17 p.m.