Other packages > Find by keyword >

sasLM  

'SAS' Linear Model
View on CRAN: Click here


Download and install sasLM package within the R console
Install from CRAN:
install.packages("sasLM")

Install from Github:
library("remotes")
install_github("cran/sasLM")

Install by package version:
library("remotes")
install_version("sasLM", "0.10.2")



Attach the package and use:
library("sasLM")
Maintained by
Kyun-Seop Bae
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-22
Latest Update: 2023-08-09
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).
How to cite:
Kyun-Seop Bae (2020). sasLM: 'SAS' Linear Model. R package version 0.10.2, https://cran.r-project.org/web/packages/sasLM
Previous versions and publish date:
0.1.2 (2020-04-22 17:20), 0.1.3 (2020-05-02 13:50), 0.1.4 (2020-06-04 17:00), 0.2.0 (2020-09-18 08:50), 0.2.1 (2020-10-18 06:30), 0.3.0 (2021-01-16 06:40), 0.5.0 (2021-02-15 06:50), 0.5.1 (2021-03-16 13:40), 0.5.2 (2021-04-14 18:00), 0.5.3 (2021-05-14 15:30), 0.6.0 (2021-06-15 06:50), 0.6.1 (2021-07-14 06:10), 0.6.2 (2021-08-18 23:20), 0.6.3 (2021-09-18 06:30), 0.6.4 (2021-11-25 11:30), 0.6.5 (2022-01-20 10:42), 0.6.6 (2022-02-19 15:20), 0.8.0 (2022-03-21 04:40), 0.8.1 (2022-05-10 13:40), 0.9.0 (2022-08-06 09:30), 0.9.1 (2022-09-05 16:20), 0.9.2 (2022-10-05 08:20), 0.9.3 (2022-11-06 23:10), 0.9.4 (2023-01-07 11:00), 0.9.5 (2023-02-06 00:40), 0.9.6 (2023-03-06 11:20), 0.9.7 (2023-04-05 13:50), 0.9.8 (2023-05-06 14:20), 0.9.9 (2023-06-05 09:40), 0.9.10 (2023-07-10 21:50), 0.9.11 (2023-08-09 06:40), 0.9.12 (2023-09-08 01:30), 0.10.0 (2023-11-19 11:00), 0.10.1 (2024-01-25 02:10), 0.10.2 (2024-02-22 08:20)
Other packages that cited sasLM R package
View sasLM citation profile
Other R packages that sasLM depends, imports, suggests or enhances
Functions, R codes and Examples using the sasLM R package
Some associated functions: BEdata . BY . BasicUtil . CIest . CONTR . CV . Coll . Cor.test . CumAlpha . Diffogram . DoEdata . Drift . EMS . ESTM . ExitP . G2SWEEP . GLM . Kurtosis . KurtosisSE . LCL . LSM . Max . Mean . Median . Min . ModelMatrix . N . OR . ORcmh . ORinv . ORmn . ORmn1 . PDIFF . Pcor.test . PocockBound . QuartileRange . RD . RDinv . RDmn . RDmn1 . REG . RR . RRinv . RRmn . RRmn1 . RanTest . Range . SD . SEM . SLICE . SS . ScoreCI . Skewness . SkewnessSE . T3MS . T3test . TTEST . UCL . UNIV . WhiteTest . af . aov1 . aov2 . aov3 . aspirinCHD . bk . cSS . corFisher . e1 . e2 . e3 . est . estmb . geoCV . geoMean . is.cor . lfit . lr . lr0 . mtest . pB . pD . pResD . regD . sasLM-package . satt . seqBound . seqCI . tmtest . trimmedMean . tsum . tsum0 . tsum1 . tsum2 . tsum3 . vtest . ztest . 
Some associated R codes: BY.R . BasicUtil.R . CIest.R . CONTR.R . CV.R . Coll.R . Cor.test.R . CumAlpha.R . Diffogram.R . Drift.R . EMS.R . ESTM.R . ExitP.R . G2SWEEP.R . GLM.R . Kurtosis.R . KurtosisSE.R . LCL.R . LSM.R . Max.R . Mean.R . Median.R . Min.R . ModelMatrix.R . N.R . OR.R . ORcmh.R . ORinv.R . ORmn.R . ORmn1.R . PDIFF.R . Pcor.test.R . PocockBound.R . QuartileRange.R . RD.R . RDinv.R . RDmn.R . RDmn1.R . REG.R . RR.R . RRinv.R . RRmn.R . RRmn1.R . RanTest.R . Range.R . SD.R . SEM.R . SLICE.R . SS.R . ScoreCI.R . Skewness.R . SkewnessSE.R . T3MS.R . T3test.R . TTEST.R . UCL.R . UNIV.R . WhiteTest.R . af.R . aov1.R . aov2.R . aov3.R . bk.R . cSS.R . corFisher.R . e1.R . e2.R . e3.R . est.R . estmb.R . geoCV.R . geoMean.R . is.cor.R . lfit.R . lr.R . lr0.R . mtest.R . pB.R . pD.R . pResD.R . regD.R . satt.R . seqBound.R . seqCI.R . tmtest.R . trimmedMean.R . tsum.R . tsum0.R . tsum1.R . tsum2.R . tsum3.R . vtest.R . ztest.R .  Full sasLM package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ismev  
An Introduction to Statistical Modeling of Extreme Values
Functions to support the computations carried out in `An Introduction to Statistical Modeling of Ex ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
multiocc  
Fits Multivariate Spatio-Temporal Occupancy Model
Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This ...
Download / Learn more Package Citations See dependency  
stagePop  
Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Provides facilities to implement and run population models of stage-structured species... ...
Download / Learn more Package Citations See dependency  
MatrixEQTL  
Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for associat ...
Download / Learn more Package Citations See dependency  
CompoundEvents  
Statistical Modeling of Compound Events
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and q ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns