Other packages > Find by keyword >

ciuupi  

Confidence Intervals Utilizing Uncertain Prior Information
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ciuupi", "1.2.3")



Attach the package and use:
library("ciuupi")
Maintained by
Paul Kabaila
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-20
Latest Update: 2024-06-18
Description:
Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with known variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a given value.This confidence interval, found by numerical nonlinear constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval has the following three practical applications. Firstly, if the error variance has been accurately estimated from previous data then it may be treated as being effectively known. Secondly, for sufficiently large (dimension of the response vector) minus (dimension of regression parameter vector), greater than or equal to 30 (say), if we replace the assumed known value of the error variance by its usual estimator in the formula for the confidence interval then the resulting interval has, to a very good approximation, the same coverage probability and expected length properties as when the error variance is known. Thirdly, some more complicated models can be approximated by the linear regression model with error variance known when certain unknown parameters are replaced by estimates. This confidence interval is described in Mainzer, R. and Kabaila, P. (2019) <doi:10.32614/RJ-2019-026>, and is a member of the family of confidence intervals proposed by Kabaila, P. and Giri, K. (2009) <doi:10.1016/j.jspi.2009.03.018>.
How to cite:
Paul Kabaila (2018). ciuupi: Confidence Intervals Utilizing Uncertain Prior Information. R package version 1.2.3, https://cran.r-project.org/web/packages/ciuupi. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-03-20 12:30), 1.1.0 (2019-01-15 06:20)
Other packages that cited ciuupi R package
View ciuupi citation profile
Other R packages that ciuupi depends, imports, suggests or enhances
Complete documentation for ciuupi
Functions, R codes and Examples using the ciuupi R package
Full ciuupi 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

SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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