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sasLM (version 1.0.1)

'SAS' Linear Model

Description

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 do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

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Version

Install

install.packages('sasLM')

Monthly Downloads

1,385

Version

1.0.1

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

July 14th, 2026

Functions in sasLM (1.0.1)

Median without NA

Pairwise Difference

Lower Confidence Limit

Least Squares Means

Odds Ratio of two groups

O'Brien-Fleming bounds for cumulative Z-test in Group Sequential Design

Odds Ratio and Score CI of two groups without strata by the MN method

Odds Ratio of two groups with strata by the CMH method

Operational Qualification (OQ) report to a pdf file

Generalized inverse matrix of type 2 for linear regression

Interquartile Range

Mean without NA

Risk Difference between two groups

Partial Correlation test of multiple columns

Standard Deviation

Standard Error of the Sample Mean

Score Confidence Interval for a Proportion or a Binomial Distribution

Risk Difference and Score CI between two groups without strata by the MN method

Risk Difference and Score CI between two groups with strata by the MN method

Risk Difference between two groups with strata by inverse variance method

Relative Risk and Score CI of two groups without strata by the MN method

Pocock (fixed) Bound for the cumulative Z-test with a final target alpha-value

Relative Risk and Score CI of two groups with strata by the MN method

Relative Risk of two groups with strata by inverse variance method

Relative Risk of the two groups

Number of observations

Test with Random Effects

Odds Ratio of two groups with strata by the inverse variance method

Convert some columns of a data.frame to factors

Odds Ratio and Score CI of two groups with strata by the MN method

ANOVA with Type I SS

Standard Error of Skewness

Regression of Linear Least Square, similar to SAS PROC REG

Type III Expected Mean Square Formula

ANOVA with Type III SS

ANOVA with Type II SS

Get a Contrast Matrix for Type I SS

Get a Contrast Matrix for Type II SS

F Test with Slice

Get a Contrast Matrix for Type III SS

Estimate Linear Functions

Independent two groups t-test similar to PROC TTEST with summarized input

Beautify the output of knitr::kable

An example dataset for meta-analysis - aspirin in coronary heart disease

Plot Confidence and Prediction Bands for Simple Linear Regression

Geometric Coefficient of Variation in percentage

Geometric Mean without NA

Linear Regression with g2 inverse

White's Model Specification Test

Confidence interval with the last Z-value for a group sequential design

Diagnostic Plot for Regression

Residual Diagnostic Plot for Regression

Table Summary with 0 independent (x) variables

Simple Linear Regressions with Each Independent Variable

Correlation test by Fisher's Z transformation

Sum of Square with a Given Contrast Set

Is it a correlation matrix?

Test Type III SS using an error term other than MSE

Upper Confidence Limit

Estimability Check

Univariate Descriptive Statistics

Independent two groups t-test comparable to PROC TTEST

F-Test for the ratio of two groups' variances

Add Acrobat-Reader signature fields to a report PDF

Table Summary with 3 independent (x) variables

Independent two means test similar to t.test with summarized input

Generalized type 2 inverse matrix, g2 inverse

Write the MD5 integrity manifest for an installed package

Regression of Conventional Way with Rich Diagnostics

Satterthwaite Approximation of Variance and Degrees of Freedom

'SAS' Linear Model

Sequential bounds for cumulative Z-test in Group Sequential Design

Test for the difference of two groups' means

Table Summary with 1 independent (x) variable

Table Summary with 2 independent (x) variables

Digitally sign and verify a PDF report

Confidence Interval Estimation

An Example Dataset of a Bioequivalence Study

Collinearity Diagnostics

Analysis BY variable

Plot Pairwise Differences

F Test with a Set of Contrasts

Coefficient of Variation in percentage

Correlation test of multiple numeric columns

Standard Error of Kurtosis

Estimate Linear Function

Expected Mean Square Formula

General Linear Model similar to SAS PROC GLM

Example Datasets

Cumulative Alpha with various z's and ti

Internal Functions

Exit Probability with Cumulative Z-test in Group Sequential Design

Installation Qualification (IQ) report to a pdf file

Drift defined by Lan and DeMets for Group Sequential Design