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sasLM (version 0.10.6)

'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

895

Version

0.10.6

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

July 23rd, 2025

Functions in sasLM (0.10.6)

Number of observations

Median without NA

Mean without NA

Generalized inverse matrix of type 2 for linear regression

Exit Probability with cumulative Z-test in Group Sequential Design

Odds Ratio of two groups

Inter-Quartile Range

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

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

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

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

White's Model Specification Test

Regression of Linear Least Square, similar to SAS PROC REG

Estimability Check

ANOVA with Type III SS

ANOVA with Type II SS

Test with Random Effects

Univariate Descriptive Statistics

Relative Risk of the two groups

Geometric Coefficient of Variation in percentage

Least Square Means

Score Confidence Interval for a Proportion or a Binomial Distribution

Odds Ratio of two groups with strata by inverse variance method

Relative Risk of two groups with strata by inverse variance method

Odds Ratio of two groups with strata by CMH method

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

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

Standard Error of the Sample Mean

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

Geometric Mean without NA

Partial Correlation test of multiple columns

Pairwise Difference

Upper Confidence Limit

Table Summary 3 independent(x) variables

Table Summary 2 independent(x) variables

Sum of Square with a Given Contrast Set

Generalized type 2 inverse matrix, g2 inverse

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

Independent two groups t-test comparable to PROC TTEST

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

Beautify the output of knitr::kable

F Test with Slice

Risk Difference between two groups

Diagnostic Plot for Regression

Plot Confidence and Prediction Bands for Simple Linear Regression

Get a Contrast Matrix for Type I SS

Correlation test by Fisher's Z transformation

Standard Error of Skewness

Get a Contrast Matrix for Type II SS

Linear Regression with g2 inverse

Is it a correlation matrix?

Simple Linear Regressions with Each Independent Variable

Residual Diagnostic Plot for Regression

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

F-Test for the ratio of two groups' variances

Sequential bounds for cumulative Z-test in Group Sequential Design

Satterthwaite Approximation of Variance and Degree of Freedom

Test for the difference of two groups' means

Type III Expected Mean Square Formula

Standard Deviation

Regression of Conventional Way with Rich Diagnostics

Test Type III SS using error term other than MSE

Estimate Linear Functions

Get a Contrast Matrix for Type III SS

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

Table Summary 0 independent(x) variable

Table Summary 1 independent(x) variable

Risk Difference between two groups with strata by inverse variance method

'SAS' Linear Model

Convert some columns of a data.frame to factors

ANOVA with Type I SS

Cumulative Alpha for the Fixed Z-value

Analysis BY variable

F Test with a Set of Contrasts

Plot Pairwise Differences

Lower Confidence Limit

Standard Error of Kurtosis

An Example Data of Bioequivalence Study

Internal Functions

Example Datasets

General Linear Model similar to SAS PROC GLM

Coefficient of Variation in percentage

Collinearity Diagnostics

Estimate Linear Function

Confidence Interval Estimation

Expected Mean Square Formula

Correlation test of multiple numeric columns

Drift defined by Lan and DeMets for Group Sequential Design