Aids2

Australian AIDS survival data containing information on patients diagnosed with AIDS in Australia.

Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

Guangbao Guo

Analyzing Censored Factor Models

Tong Meng

Aids2 function

A data frame with 2843 observations and 7 variables:<dl>
 <dt>state</dt>
<dd>State in Australia: NSW, Other, QLD, VIC</dd> <dt>sex</dt>
<dd>Sex of the patient</dd> <dt>diag</dt>
<dd>Date of diagnosis</dd> <dt>death</dt>
<dd>Date of death</dd> <dt>status</dt>
<dd>Status at the end of the study: A (alive), D (dead)</dd> <dt>T.categ</dt>
<dd>Transmission category</dd> <dt>age</dt>
<dd>Age at diagnosis</dd>
</dl>

Format

Aids2 Dataset — Aids2

A data frame with 2843 observations and 7 variables:<dl>
 <dt>state</dt>
<dd>State in Australia: NSW, Other, QLD, VIC</dd>

 <dt>sex</dt>
<dd>Sex of the patient</dd>

 <dt>diag</dt>
<dd>Date of diagnosis</dd>

 <dt>death</dt>
<dd>Date of death</dd>

 <dt>status</dt>
<dd>Status at the end of the study: A (alive), D (dead)</dd>

 <dt>T.categ</dt>
<dd>Transmission category</dd>

 <dt>age</dt>
<dd>Age at diagnosis</dd>


</dl>

Aids2: Aids2 Dataset

Description

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Examples