Other packages > Find by keyword >

MomTrunc  

Moments of Folded and Doubly Truncated Multivariate Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MomTrunc", "6.1")



Attach the package and use:
library("MomTrunc")
Maintained by
Christian E. Galarza
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2024-10-28
Description:
It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members.
How to cite:
Christian E. Galarza (2018). MomTrunc: Moments of Folded and Doubly Truncated Multivariate Distributions. R package version 6.1, https://cran.r-project.org/web/packages/MomTrunc. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.37 (2018-01-05 11:21), 1.41 (2018-02-11 20:25), 2.37 (2019-05-08 00:12), 3.19 (2019-07-19 09:20), 4.51 (2019-09-09 18:40), 4.59 (2019-10-08 18:20), 5.57 (2020-01-09 15:00), 5.63 (2020-01-19 19:50), 5.69 (2020-01-24 18:10), 5.71 (2020-02-17 22:50), 5.79 (2020-03-02 20:20), 5.87 (2020-04-12 11:30), 5.89 (2020-06-14 23:00), 5.91 (2020-11-05 07:20), 5.97 (2021-03-01 23:20), 6.0 (2022-06-16 01:10), (2026-07-09 08:11)
Other packages that cited MomTrunc R package
View MomTrunc citation profile
Other R packages that MomTrunc depends, imports, suggests or enhances
Complete documentation for MomTrunc
Functions, R codes and Examples using the MomTrunc R package
Some associated functions: MCmeanvarTMD . MomTrunc-package . cdfFMD . dprmvESN . dprmvEST . dprmvSN . dprmvST . meanvarFMD . meanvarTMD . momentsFMD . momentsTMD . onlymeanTMD . pmvtnormt . 
Some associated R codes: AUX_MC.R . AUX_T.R . AUX_T_Kan.R . AUX_T_Lin.R . AUX_correctors_N.R . AUX_correctors_T.R . AUX_esn.R . AUX_genPxy.R . AUX_hfuns.R . AUX_logs.R . AUX_olds.R . AUX_optmeanvarTMD.R . AUX_qfuns.R . AUX_qfunsT.R . AUX_tlrmvnmvt_adapter.R . ESN_mean.R . ESN_mv.R . FESN1_mv.R . FESN_cdf.R . FESN_mom.R . FESN_mv.R . FN_cdf.R . FN_mom.R . FN_mom_Rcpp.R . FN_mv.R . FT_cdf.R . FT_mom.R . FT_mom_Rcpp.R . FT_mv.R . RcppExports.R . TESN1_mean.R . TESN1_mv.R . TESN_mean.R . TESN_mom.R . TESN_mom_Rcpp.R . TESN_mv.R . TEST_mom_Rcpp.R . TN1_mean.R . TN1_mv.R . TN_mean.R . TN_mom.R . TN_mom_Rcpp.R . TN_mv.R . TN_mv_Kan.R . TN_mv_Vaida.R . TSLCT_mean.R . TSLCT_mv.R . TSLCT_mv_MC.R . TT_mean.R . TT_mean_Kan.R . TT_mom.R . TT_mom_Rcpp.R . TT_mv.R . TT_mv_Hybrid.R . TT_mv_Kan.R . TT_mv_Lin.R . TT_mv_old.R . TT_onlymean_all.R . USER_MCmeanvarTMD.R . USER_cdfFMD.R . USER_dmvESN.R . USER_dmvEST.R . USER_dmvSN.R . USER_dmvST.R . USER_meanvarFMD.R . USER_meanvarTMD.R . USER_momentsFMD.R . USER_momentsTMD.R . USER_onlymeanTMD.R . USER_pmvESN.R . USER_pmvEST.R . USER_pmvSN.R . USER_pmvST.R . USER_pmvnormt.R . USER_rmvESN.R . USER_rmvEST.R . USER_rmvSN.R . USER_rmvST.R .  Full MomTrunc package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA