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MAINT.Data  

Model and Analyse Interval Data
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/MAINT.Data")

Install by package version:
library("remotes")
install_version("MAINT.Data", "2.7.1")



Attach the package and use:
library("MAINT.Data")
Maintained by
Pedro Duarte Silva
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-08-04
Latest Update: 2023-04-04
Description:
Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
How to cite:
Pedro Duarte Silva (2011). MAINT.Data: Model and Analyse Interval Data. R package version 2.7.1, https://cran.r-project.org/web/packages/MAINT.Data
Previous versions and publish date:
0.1 (2011-08-04 18:30), 0.2 (2011-11-07 17:23), 0.3 (2014-10-25 01:27), 0.4 (2015-05-04 01:27), 0.5.1 (2015-10-20 21:13), 0.5 (2015-10-19 08:41), 1.0.0 (2016-10-16 17:39), 1.0.1 (2016-12-31 16:47), 1.1.0 (2017-06-03 00:24), 1.1.1 (2017-06-05 23:45), 1.1.2 (2017-06-13 09:16), 1.1.3 (2017-10-19 22:48), 1.1.4 (2017-10-23 12:02), 1.2.0 (2017-11-22 10:29), 1.2.1 (2018-01-07 13:03), 1.2.2 (2018-06-30 19:04), 1.2.3 (2018-08-11 01:00), 2.0.0 (2018-10-18 00:10), 2.1.1 (2019-04-24 00:40), 2.2.0 (2019-05-08 20:50), 2.3.0 (2019-08-19 13:50), 2.3.1 (2020-01-07 12:10), 2.4.0 (2020-06-25 06:50), 2.4.1 (2020-06-25 13:50), 2.5.0 (2020-09-24 22:30), 2.6.0 (2021-04-26 06:20), 2.6.1 (2021-05-04 15:00), 2.6.2 (2021-09-21 15:10)
Other packages that cited MAINT.Data R package
View MAINT.Data citation profile
Other R packages that MAINT.Data depends, imports, suggests or enhances
Functions, R codes and Examples using the MAINT.Data R package
Some associated functions: Abalone . AgrMcDt . BestModel-methods . Cars . ChinaTemp . ConfMat . ConfTests-class . DACrossVal . EMControl-class . EMControl . IData-class . IData . IDtOutl-class . IdtE-class . IdtMANOVA-class . IdtMclust-class . IdtMxE-class . IdtMxNDE-class . IdtMxNDRE-class . IdtMxNandSNDE-class . IdtMxSNDE-class . IdtMxtNDE-class . IdtNDE-class . IdtNandSNDE-class . IdtOutl-methods . IdtSNDE-class . IdtSNgenda-class . IdtSNlocda-class . IdtSngNDE-class . IdtSngNDRE-class . IdtSngNandSNDE-class . IdtSngSNDE-class . Idtlda-class . Idtmclust-methods . Idtqda-class . LRTest-class . LoansbyPurpose_minmaxDt . LoansbyRskLvs_minmaxDt . LoansbyRskLvs_qntlDt . MAINT.Data-internal . MAINT.Data-package . MANOVA-methods . MANOVAPermTest . RepLOptim . RobEstControl-class . RobEstControl . RobMxtDEst-methods . Robda-methods . coef-methods . cor-methods . extmatrix . fasttle-methods . fulltle-methods . getIdtOutl . lda-methods . mean-methods . mle-methods . nycflights . pcoordplot-methos . plot-methods . plotInfCrt-methos . qHardRoqF . qda-methods . snda-methods . stdEr-methods . summary-methods . testMod-methods . var-methods . vcov-methods . 
Some associated R codes: AgrMcDt.R . CPLogLik.grads.R . CPMaxLik.R . CholeskiGradients.R . ClasGenMetDef.R . ConfMatrix.R . Conversions.R . CorrHetSNSol.R . CorrSNSol.R . DACrossVal.R . GaussLnLik.R . IData.R . IdtMaxLikN.R . IdtMaxLikNC2.R . IdtMaxLikSN.R . IdtMclust_methods.R . IdtOutl_methods.R . Idtmclust.R . MDFinitSq.R . MStep.R . RepEMGauss.R . RepLOptim.R . RestCPMaxLik.R . Rfasttle.R . Rfulltle.R . RobMxtDEst.R . Robldaqda.R . SNmle.R . SkNObsLikGradients.R . fasttle.R . feasmu0.R . fulltle.R . lqda.R . mle.R . mleVCOV.R . msnCP.dev.R . msnCP.dev.grad.R . msnCP.dev.grad.out.prod.R . pdwt.solve.R . q1Config.R . sknda.R .  Full MAINT.Data package functions and examples
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