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sasLM (version 0.9.6)

'SAS' Linear Model

Description

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, 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

730

Version

0.9.6

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

March 6th, 2023

Functions in sasLM (0.9.6)

Lower Confidence Limit

Odds Ratio of two groups with strata by CMH method

Inter-Quartile Range

Partial Correlation test of multiple columns

F Test with Slice

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

Risk Difference between two groups

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

Standard Error of Skewness

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

Standard Error of the Sample Mean

Test Type III SS using error term other than MSE

Standard Error of Kurtosis

Odds Ratio of two groups with strata by inverse variance method

Upper Confidence Limit

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

Risk Difference between two groups with strata by inverse variance method

Sum of Square with a Given Contrast Set

Type III Expected Mean Square Formula

Geometric Coefficient of Variation in percentage

Least Square Means

Correlation test by Fisher's Z transformation

Estimability Check

Median without NA

Linear Regression with g2 inverse

Pairwise Difference

Univariate Descriptive Statistics

Simple Linear Regressions with Each Independent Variable

Get a Contrast Matrix for Type I SS

Get a Contrast Matrix for Type II SS

Number of observations

Regression of Linear Least Square, similar to SAS PROC REG

Table Summary 3 independent(x) variables

Plot Confidence and Prediction Bands for Simple Linear Regression

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

Test with Random Effects

ANOVA with Type III SS

Relative Risk of two groups with strata by inverse variance method

Score CI of a proportion

Relative Risk of the two groups

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

Estimate Linear Functions

Regression of Conventional Way with Rich Diagnostics

Convert some columns of a data.frame to factors

White's Model Specification Test

Get a Contrast Matrix for Type III SS

Is it a correlation matrix?

Beautify the output of knitr::kable

Geometric Mean without NA

ANOVA with Type I SS

Standard Deviation

'SAS' Linear Model

ANOVA with Type II SS

Table Summary 1 independent(x) variable

Residual Diagnostic Plot for Regression

Diagnostic Plot for Regression

Satterthwaite Approximation of Variance and Degree of Freedom

Table Summary 2 independent(x) variables

Table Summary 0 independent(x) variable

Confidence Interval Estimation

An Example Data of Bioequivalence Study

Plot Pairwise Differences

Correlation test of multiple numeric columns

Collinearity Diagnostics

Analysis BY variable

Coefficient of Variation in percentage

Expected Mean Square Formula

Internal Functions

Example Datasets

F Test with a Set of Contrasts

Mean without NA

Odds Ratio of two groups

Estimate Linear Function

Generalized inverse matrix of type 2, g2 inverse

General Linear Model similar to SAS PROC GLM