Package: sasLM 1.0.1

Kyun-Seop Bae

sasLM: 'SAS' Linear Model

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).

Authors:Kyun-Seop Bae [aut, cre]

sasLM_1.0.1.tar.gz
sasLM_1.0.1.tar.gz(r-4.7-any)sasLM_1.0.1.tar.gz(r-4.6-any)
sasLM_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sasLM/json (API)

# Install 'sasLM' in R:

install.packages('sasLM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.75 score 3 packages 40 scripts 1.1k downloads 1 mentions 157 exports 1 dependencies

Last updated from:8d37a619b9. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	138
source / vignettes	OK	223
linux-release-x86_64	OK	139
wasm-release	OK	112

Exports:addSigFieldLM af aov1 aov2 aov3 aspirinCHD bacteria beanyield bearing BEdata bk bL bondreturn BP brandtar bulblife BY ccdyield CheckAlias CIest Coll CONTR Cor.test corFisher cSS CumAlpha CV dampoll1 dampoll2 defect1 defect2 dietwt Diffogram Drift dstrength dynamite e1 e2 e3 edupgm EMS est ESTM estmb ex ExitP feedmice1 feedmice2 feedsheep fertpest1 fertpest2 g2inv G2SWEEP geoCV geoMean GLM GrpCode hlpump IQLM is.cor keyspeed Kurtosis KurtosisSE LCL leprosy lfit llsm0 lr lr0 LSM lsm0 Max Mean Median Min ModelMatrix mtest N OBFBound oneway OQLM OR ORcmh ORinv ORmn ORmn1 pB Pcor.test pD PDIFF pigfeed pivotJ plotDiff plotDunnett PocockBound pResD ptensile qcpass QuartileRange Range RanTest RD RDinv RDmn RDmn1 REG regD rosemite RR RRinv RRmn RRmn1 rsdata0 satt score1 score2 ScoreCI SD SEM seqBound seqCI signPDFLM simxy1 simxy2 Skewness SkewnessSE SLICE sodium sortColName SS sumANOVA sumREG T3MS T3test temptrend tirewear1 tirewear2 tirewear3 tmtest toollife transfat trimmedMean tsum tsum0 tsum1 tsum2 tsum3 TTEST twoway UCL UNIV verifyPDFLM vtest WhiteH WhiteTest writeMD5LM ztest

Dependencies:mvtnorm

Bioequivalence and Crossover Analysis with sasLM

The standard 2x2 crossover analysis | Testing SEQ against the correct error term | The 90% confidence interval of the geometric mean ratio | Least squares means of treatments | Notes

Rendered frombioequivalence-with-sasLM.Rmdusingknitr::rmarkdown

Last update: 2026-07-14
Started: 2026-07-14

sasLM for SAS Users

Rendered fromsasLM-for-SAS-users.Rmdusingknitr::rmarkdown

Last update: 2026-07-14
Started: 2026-07-14

Stratified 2x2 Tables: Miettinen-Nurminen and Friends

A single 2x2 table | Stratified analysis by the MN score method | Inverse variance (meta-analysis) and CMH methods | Example: aspirin and coronary heart disease | Choosing a method

Rendered fromstratified-2x2-tables.Rmdusingknitr::rmarkdown

Last update: 2026-07-14
Started: 2026-07-14

Help page	Topics
'SAS' Linear Model	sasLM-package sasLM
Add Acrobat-Reader signature fields to a report PDF	addSigFieldLM
Convert some columns of a data.frame to factors	af
ANOVA with Type I SS	aov1
ANOVA with Type II SS	aov2
ANOVA with Type III SS	aov3
An example dataset for meta-analysis - aspirin in coronary heart disease	aspirinCHD
An Example Dataset of a Bioequivalence Study	BEdata
Beautify the output of knitr::kable	bk
Analysis BY variable	BY
Confidence Interval Estimation	CIest
Collinearity Diagnostics	Coll
F Test with a Set of Contrasts	CONTR
Correlation test of multiple numeric columns	Cor.test
Correlation test by Fisher's Z transformation	corFisher
Sum of Square with a Given Contrast Set	cSS
Cumulative Alpha with various z's and ti	CumAlpha
Coefficient of Variation in percentage	CV
Plot Pairwise Differences	Diffogram
Drift defined by Lan and DeMets for Group Sequential Design	Drift
Get a Contrast Matrix for Type I SS	e1
Get a Contrast Matrix for Type II SS	e2
Get a Contrast Matrix for Type III SS	e3
Expected Mean Square Formula	EMS
Estimate Linear Functions	est
Estimate Linear Function	ESTIMATE ESTM
Estimability Check	estmb
Exit Probability with Cumulative Z-test in Group Sequential Design	ExitP
Generalized type 2 inverse matrix, g2 inverse	g2inv
Generalized inverse matrix of type 2 for linear regression	G2SWEEP
Geometric Coefficient of Variation in percentage	geoCV
Geometric Mean without NA	geoMean
General Linear Model similar to SAS PROC GLM	GLM
Installation Qualification (IQ) report to a pdf file	IQLM
Is it a correlation matrix?	is.cor
Kurtosis	Kurtosis
Standard Error of Kurtosis	KurtosisSE
Lower Confidence Limit	LCL
Linear Fit	lfit
Linear Regression with g2 inverse	lr
Simple Linear Regressions with Each Independent Variable	lr0
Least Squares Means	LSM
Max without NA	Max
Mean without NA	Mean
Median without NA	Median
Min without NA	Min
Model Matrix	ModelMatrix
Independent two groups t-test similar to PROC TTEST with summarized input	mtest
Number of observations	N
O'Brien-Fleming bounds for cumulative Z-test in Group Sequential Design	OBFBound
Operational Qualification (OQ) report to a pdf file	OQLM
Odds Ratio of two groups	OR
Odds Ratio of two groups with strata by the CMH method	ORcmh
Odds Ratio of two groups with strata by the inverse variance method	ORinv
Odds Ratio and Score CI of two groups with strata by the MN method	ORmn
Odds Ratio and Score CI of two groups without strata by the MN method	ORmn1
Plot Confidence and Prediction Bands for Simple Linear Regression	pB
Partial Correlation test of multiple columns	Pcor.test
Diagnostic Plot for Regression	pD
Pairwise Difference	PDIFF
Pocock (fixed) Bound for the cumulative Z-test with a final target alpha-value	PocockBound
Residual Diagnostic Plot for Regression	pResD
Interquartile Range	QuartileRange
Range	Range
Test with Random Effects	RanTest
Risk Difference between two groups	RD
Risk Difference between two groups with strata by inverse variance method	RDinv
Risk Difference and Score CI between two groups with strata by the MN method	RDmn
Risk Difference and Score CI between two groups without strata by the MN method	RDmn1
Regression of Linear Least Square, similar to SAS PROC REG	REG
Regression of Conventional Way with Rich Diagnostics	regD
Relative Risk of the two groups	RR
Relative Risk of two groups with strata by inverse variance method	RRinv
Relative Risk and Score CI of two groups with strata by the MN method	RRmn
Relative Risk and Score CI of two groups without strata by the MN method	RRmn1
Satterthwaite Approximation of Variance and Degrees of Freedom	satt
Score Confidence Interval for a Proportion or a Binomial Distribution	ScoreCI
Standard Deviation	SD
Standard Error of the Sample Mean	SEM
Sequential bounds for cumulative Z-test in Group Sequential Design	seqBound
Confidence interval with the last Z-value for a group sequential design	seqCI
Digitally sign and verify a PDF report	signPDFLM verifyPDFLM
Skewness	Skewness
Standard Error of Skewness	SkewnessSE
F Test with Slice	SLICE
Sum of Square	SS
Type III Expected Mean Square Formula	T3MS
Test Type III SS using an error term other than MSE	T3test
Independent two means test similar to t.test with summarized input	tmtest
Trimmed Mean	trimmedMean
Table Summary	tsum
Table Summary with 0 independent (x) variables	tsum0
Table Summary with 1 independent (x) variable	tsum1
Table Summary with 2 independent (x) variables	tsum2
Table Summary with 3 independent (x) variables	tsum3
Independent two groups t-test comparable to PROC TTEST	TTEST
Upper Confidence Limit	UCL
Univariate Descriptive Statistics	UNIV
F-Test for the ratio of two groups' variances	vtest
White's Model Specification Test	WhiteTest
Write the MD5 integrity manifest for an installed package	writeMD5LM
Test for the difference of two groups' means	ztest

Package: sasLM 1.0.1

sasLM: 'SAS' Linear Model

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)