bioChemists

A sample of 915 biochemistry graduate students.

datasets

A general framework for finite mixtures of regression
models using the EM algorithm is implemented. The E-step and all
data handling are provided, while the M-step can be supplied by the
user to easily define new models. Existing drivers implement
mixtures of standard linear models, generalized linear models and
model-based clustering.

Bettina Gruen

flexmix

Flexible Mixture Modeling

Friedrich Leisch

Deepayan Sarkar

Frederic Mortier

Nicolas Picard

bioChemists function

<dl>
 <dt>art</dt>
<dd>count of articles produced during last 3 years of Ph.D.</dd> <dt>fem</dt>
<dd>factor indicating gender of student, with levels Men and Women</dd> <dt>mar</dt>
<dd>factor indicating marital status of student, with levels
 Single and Married</dd> <dt>kid5</dt>
<dd>number of children aged 5 or younger</dd> <dt>phd</dt>
<dd>prestige of Ph.D. department</dd> <dt>ment</dt>
<dd>count of articles produced by Ph.D. mentor during last 3 years</dd> 
</dl>

Format

Articles by Graduate Students in Biochemistry Ph.D. Programs — bioChemists

<dl>
 <dt>art</dt>
<dd>count of articles produced during last 3 years of Ph.D.</dd>

 <dt>fem</dt>
<dd>factor indicating gender of student, with levels Men and Women</dd>

 <dt>mar</dt>
<dd>factor indicating marital status of student, with levels
 Single and Married</dd>

 <dt>kid5</dt>
<dd>number of children aged 5 or younger</dd>

 <dt>phd</dt>
<dd>prestige of Ph.D. department</dd>

 <dt>ment</dt>
<dd>count of articles produced by Ph.D. mentor during last 3 years</dd>

 
</dl>

bioChemists: Articles by Graduate Students in Biochemistry Ph.D. Programs

Description

Usage

Arguments

Format

Details

References