CIest

Get point estimate and its confidence interval with given contrast and alpha value using t distribution.

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

CIest function

<dl> <dt>Formula</dt>
<dd>a conventional formula for a linear model</dd> <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd> <dt>Term</dt>
<dd>a factor name to be estimated</dd> <dt>Contrast</dt>
<dd>a level vector. Level is alphabetically ordered by default.</dd> <dt>conf.level</dt>
<dd>confidence level of confidence interval</dd></dl>

Arguments

Author

Confidence Interval Estimation — CIest

<dl>

 <dt>Formula</dt>
<dd>a conventional formula for a linear model</dd>

 <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd>

 <dt>Term</dt>
<dd>a factor name to be estimated</dd>

 <dt>Contrast</dt>
<dd>a level vector. Level is alphabetically ordered by default.</dd>

 <dt>conf.level</dt>
<dd>confidence level of confidence interval</dd>

</dl>

CIest: Confidence Interval Estimation

Description

Usage

Value

Arguments

Author

Details

Examples