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markwh/condSample: Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.

Contains functions for generating samples from linear models and rating-curve models specified in the rcmodel package (which shares a common origin with these functions)

Vignettes Man pages API and functions Files

Package details
Maintainer	Mark Hagemann <mark.hagemann@gmail.com>
License	GPL-3
Version	0.0.0.9001
Package repository	View on GitHub
Installation	Install the latest version of this package by entering the following in R: `install.packages("remotes") remotes::install_github("markwh/condSample")`

markwh/condSample documentation built on May 21, 2019, 12:25 p.m.

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markwh/condSample
Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.

markwh/condSample: Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.

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markwh/condSample Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.

markwh/condSample: Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.

Getting started

Browse package contents

Package details

R Package Documentation

Browse R Packages

We want your feedback!

markwh/condSample
Generate random samples from the assumed error distribution of a regression model, conditional on predictor variable values.