dspop

Randomly generated data for direct standardization example.
Sex was drawn from a Bernoulli distribution, and age was drawn from a uniform distribution on 10,...,60.
The response was drawn from a normal distribution with a mean that depends on sex and age, and a variance of 1.

data

An object-oriented modeling language for disciplined convex
programming (DCP). It allows the user to formulate convex optimization problems
in a natural way following mathematical convention and DCP rules. The system
analyzes the problem, verifies its convexity, converts it into a canonical form,
and hands it off to an appropriate solver to obtain the solution.

Anqi Fu

CVXR

Disciplined Convex Optimization

Balasubramanian Narasimhan

Steven Diamond

John Miller

Stephen Boyd

Paul Kunsberg Rosenfield

dspop function

A data frame with 1000 rows and 3 variables:<dl class="dl-horizontal">
 <dt>y</dt><dd>Response variable</dd>
 <dt>sex</dt><dd>Sex of individual, coded male (0) and female (1)</dd>
 <dt>age</dt><dd>Age of individual</dd>
</dl>

Format

Direct Standardization: Population — dspop

A data frame with 1000 rows and 3 variables:<dl class='dl-horizontal'>
 <dt>y</dt><dd>Response variable</dd>
 <dt>sex</dt><dd>Sex of individual, coded male (0) and female (1)</dd>
 <dt>age</dt><dd>Age of individual</dd>
</dl>

dspop: Direct Standardization: Population

Description

Usage

Arguments

Format

See Also