R: Summary for estimateEffect

summary.estimateEffect {stm} | R Documentation

## Summary for estimateEffect

### Description

Create a summary regression table similar to those produced for `lm`

### Usage

    ## S3 method for class 'estimateEffect'
    summary(object, topics = NULL, nsim = 500, ...)

### Arguments

`object` | an object of class `"estimateEffect"`, usually a result of a call to `estimateEffect`
`topics` | a vector containing the topic numbers for each a summary is to be calculated. Must be contained in the original `estimateEffect` object
`nsim` | the number of simulations to use per parameter set to calculate the standard error. Defaults to 500
`...` | further arguments passed to or from other methods

### Details

This function along with `print.summary.estimateEffect` creates regression tables that look like typically summaries you see in R. In general we recommend that you use non-linearities such as splines via function like `s` and in those circumstances the tables are not particularly interpretable.

Confidence intervals are calculated by using draws from the covariance matrix of each simulation to estimate the standard error. Then a t-distribution approximation is applied to calculate the various quantities of interest.

### See Also

`estimateEffect` `plot.estimateEffect`

[Package stm version 1.3.6 Index]