Learn R Programming

sasLM (version 0.10.8)

'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 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).

Copy Link

Version

Install

install.packages('sasLM')

Monthly Downloads

1,244

Version

0.10.8

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

March 8th, 2026

Functions in sasLM (0.10.8)

General Linear Model similar to SAS PROC GLM

Example Datasets

Generalized inverse matrix of type 2 for linear regression

Lower Confidence Limit

Estimate Linear Function

Standard Error of Kurtosis

Drift defined by Lan and DeMets for Group Sequential Design

Exit Probability with cumulative Z-test in Group Sequential Design

Number of observations

Odds Ratio of two groups

Expected Mean Square Formula

Mean without NA

Median without NA

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

Odds Ratio of two groups with strata by CMH method

Least Square Means

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

Pairwise Difference

Risk Difference between two groups with strata by inverse variance method

Partial Correlation test of multiple columns

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

Test with Random Effects

Standard Error of the Sample Mean

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

Standard Deviation

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

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

Test Type III SS using error term other than MSE

Relative Risk of two groups with strata by inverse variance method

Odds Ratio of two groups with strata by inverse variance method

Independent two groups t-test comparable to PROC TTEST

Relative Risk of the two groups

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

Score Confidence Interval for a Proportion or a Binomial Distribution

White's Model Specification Test

Convert some columns of a data.frame to factors

Beautify the output of knitr::kable

Sum of Square with a Given Contrast Set

Univariate Descriptive Statistics

Upper Confidence Limit

ANOVA with Type III SS

Generalized type 2 inverse matrix, g2 inverse

Get a Contrast Matrix for Type II SS

Get a Contrast Matrix for Type III SS

Geometric Coefficient of Variation in percentage

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

Inter-Quartile Range

Diagnostic Plot for Regression

Estimate Linear Functions

Estimability Check

Residual Diagnostic Plot for Regression

Plot Confidence and Prediction Bands for Simple Linear Regression

Type III Expected Mean Square Formula

Standard Error of Skewness

Correlation test by Fisher's Z transformation

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

Regression of Linear Least Square, similar to SAS PROC REG

ANOVA with Type I SS

F Test with Slice

ANOVA with Type II SS

Risk Difference between two groups

Regression of Conventional Way with Rich Diagnostics

Get a Contrast Matrix for Type I SS

Simple Linear Regressions with Each Independent Variable

Geometric Mean without NA

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

Is it a correlation matrix?

'SAS' Linear Model

Table Summary 0 independent(x) variable

Linear Regression with g2 inverse

Table Summary 3 independent(x) variables

Table Summary 1 independent(x) variable

Sequential bounds for cumulative Z-test in Group Sequential Design

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

Table Summary 2 independent(x) variables

F-Test for the ratio of two groups' variances

Satterthwaite Approximation of Variance and Degree of Freedom

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

Test for the difference of two groups' means

Plot Pairwise Differences

Analysis BY variable

Correlation test of multiple numeric columns

Cumulative Alpha with various z's and ti

Collinearity Diagnostics

F Test with a Set of Contrasts

Confidence Interval Estimation

Coefficient of Variation in percentage

Internal Functions

An Example Data of Bioequivalence Study