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sasLM (version 0.10.7)

'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).

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Version

Install

install.packages('sasLM')

Monthly Downloads

775

Version

0.10.7

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

September 28th, 2025

Functions in sasLM (0.10.7)

Number of observations

Least Square Means

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

Mean without NA

Median without NA

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

Inter-Quartile Range

Generalized inverse matrix of type 2 for linear regression

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

Risk Difference between two groups

Odds Ratio of two groups with strata by inverse variance method

Odds Ratio of two groups

Partial Correlation test of multiple columns

Odds Ratio of two groups with strata by CMH method

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

Relative Risk of the two groups

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

Regression of Linear Least Square, similar to SAS PROC REG

Relative Risk of two groups with strata by inverse variance method

Score Confidence Interval for a Proportion or a Binomial Distribution

Standard Deviation

Standard Error of the Sample Mean

F Test with Slice

Upper Confidence Limit

Test with Random Effects

Univariate Descriptive Statistics

Type III Expected Mean Square Formula

White's Model Specification Test

Standard Error of Skewness

Convert some columns of a data.frame to factors

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

Get a Contrast Matrix for Type I SS

Correlation test by Fisher's Z transformation

ANOVA with Type II SS

ANOVA with Type I SS

Sum of Square with a Given Contrast Set

Linear Regression with g2 inverse

Estimability Check

Beautify the output of knitr::kable

Estimate Linear Functions

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

Test Type III SS using error term other than MSE

ANOVA with Type III SS

Independent two groups t-test comparable to PROC TTEST

Is it a correlation matrix?

Geometric Mean without NA

Plot Confidence and Prediction Bands for Simple Linear Regression

Sequential bounds for cumulative Z-test in Group Sequential Design

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

Diagnostic Plot for Regression

Generalized type 2 inverse matrix, g2 inverse

'SAS' Linear Model

Satterthwaite Approximation of Variance and Degree of Freedom

Regression of Conventional Way with Rich Diagnostics

Geometric Coefficient of Variation in percentage

Residual Diagnostic Plot for Regression

Table Summary 3 independent(x) variables

Table Summary 0 independent(x) variable

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

Table Summary 2 independent(x) variables

Table Summary 1 independent(x) variable

F-Test for the ratio of two groups' variances

Test for the difference of two groups' means

Simple Linear Regressions with Each Independent Variable

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

Get a Contrast Matrix for Type II SS

Get a Contrast Matrix for Type III SS

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

F Test with a Set of Contrasts

Internal Functions

Plot Pairwise Differences

Coefficient of Variation in percentage

Correlation test of multiple numeric columns

Collinearity Diagnostics

Analysis BY variable

Standard Error of Kurtosis

Confidence Interval Estimation

Lower Confidence Limit

An Example Data of Bioequivalence Study

Cumulative Alpha with various z's and ti

Exit Probability with cumulative Z-test in Group Sequential Design

Expected Mean Square Formula

Estimate Linear Function

Example Datasets

Drift defined by Lan and DeMets for Group Sequential Design

General Linear Model similar to SAS PROC GLM