R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
ContRespPP
Predictive Probability for a Continuous Response with an ANOVA Structure
View on CRAN: Click
here
Download and install ContRespPP package within the R console
Install from CRAN:
install.packages("ContRespPP")
Install from Github:
library("remotes")
install_github("cran/ContRespPP") Install by package version:
library("remotes")
install_version("ContRespPP", "0.4.2") Attach the package and use:
library("ContRespPP")
Maintained by
Victoria Sieck
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-27
Latest Update: 2022-10-15
Description:
A Bayesian approach to using
predictive probability in an ANOVA construct with a continuous normal response,
when threshold values must be obtained for the question of interest to be
evaluated as successful (Sieck and Christensen (2021) ).
The Bayesian Mission Mean (BMM) is used to evaluate a question
of interest (that is, a mean that randomly selects combination of factor levels
based on their probability of occurring instead of averaging over the factor
levels, as in the grand mean). Under this construct, in contrast to a Gibbs
sampler (or Metropolis-within-Gibbs sampler), a two-stage sampling method is
required. The nested sampler determines the conditional posterior distribution
of the model parameters, given Y, and the outside sampler determines the marginal
posterior distribution of Y (also commonly called the predictive distribution for Y).
This approach provides a sample from the joint posterior distribution of Y and
the model parameters, while also accounting for the threshold value that must be
obtained in order for the question of interest to be evaluated as successful.
How to cite:
Victoria Sieck (2022). ContRespPP: Predictive Probability for a Continuous Response with an ANOVA Structure. R package version 0.4.2, https://cran.r-project.org/web/packages/ContRespPP. Accessed 05 Aug. 2026.
Previous versions and publish date:
0.4.1 (2022-09-27 12:20), (2026-07-09 08:00)
Other packages that cited ContRespPP R package
View ContRespPP citation profile
Other R packages that ContRespPP depends,
imports, suggests or enhances
Complete documentation for ContRespPP
Functions, R codes and Examples using
the ContRespPP R package
Some associated functions: exData . gibbs.sampler . gibbs.sampler.posterior . gibbs.sampler.posterior.rjags . gibbs.sampler.predictive . gibbs.sampler.predictive.rjags . print.ContRespPP . prob.creator . summary.ContRespPP .
Some associated R codes: data.R . gibbs_sampler.R . gibbs_sampler_posterior.R . gibbs_sampler_posterior_jags.R . gibbs_sampler_predictive.R . gibbs_sampler_predictive_jags.R . prob_creator.R . utils.R . Full ContRespPP package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
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
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
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
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
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
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (view profile)
dhReg
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
