summary.estimateEffect: Summary for estimateEffect

In stm: Estimation of the Structural Topic Model

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

stm documentation built on June 24, 2024, 5:18 p.m.