lm-methods: Methods for 'lm' Models

In jrnold/marfx: Yet Another Marginal Effects Package

Description

Methods for lm Models

Usage

## S3 method for class 'lm'
simpar(x, n = 1L, V = NULL, ...)

## S3 method for class 'lm'
simfdfx(x, data1, data2, n = 1L, delta = 1, ...)

## S3 method for class 'lm'
afdfx(x, data1, data2, delta = 1, n = 1000L, confint = 0.95,
  weights = NULL, ...)

## S3 method for class 'lm'
simev(x, data = stats::model.frame(x), n = 1000L, ...)

## S3 method for class 'lm'
simy(x, n = 1L, data = stats::model.frame(x), ...)

Arguments

x	object
n	Number of iterations
V	Variance-covariance matrix for the coefficients. This allows for the substitution of "robust" covariance matrices.
...	further arguments passed to or from other methods.
data1, data2, data	Data
delta	Size of the difference
confint	Confidence interval level
weights	Weights to apply to the data

jrnold/marfx documentation built on May 20, 2019, 1:03 a.m.