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
BTtest
View on CRAN: Click
here
Download and install BTtest package within the R console
Install from CRAN:
install.packages("BTtest")
Install from Github:
library("remotes")
install_github("cran/BTtest")
Install by package version:
library("remotes")
install_version("BTtest", "0.10.3")
Attach the package and use:
library("BTtest")
Maintained by
Paul Haimerl
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-10
Latest Update: 2024-01-11
Description:
Large panel data sets are often subject to common trends. However, it can be difficult to determine the exact number of these common factors and analyse their properties.
The package implements the Barigozzi and Trapani (2022) test, which not only provides an efficient way of estimating the number of common factors in large nonstationary panel data sets, but also gives further insights on factor classes. The routine identifies the existence of (i) a factor subject to a linear trend, (ii) the number of zero-mean I(1) and (iii) zero-mean I(0) factors.
Furthermore, the package includes the Integrated Panel Criteria by Bai (2004) that provide a complementary measure for the number of factors.
How to cite:
Paul Haimerl (2023). BTtest: Estimate the Number of Factors in Large Nonstationary Datasets. R package version 0.10.3, https://cran.r-project.org/web/packages/BTtest. Accessed 23 Dec. 2024.
Previous versions and publish date:
Other packages that cited BTtest R package
View BTtest citation profile
Other R packages that BTtest depends,
imports, suggests or enhances
Complete documentation for BTtest
Functions, R codes and Examples using
the BTtest R package
Full BTtest 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
gemma2
Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (20 ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Frederick Boehm (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
cdmTools
Provides useful tools for cognitive diagnosis modeling (CDM). The package includes functions for emp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pablo Nájera (view profile)
fasano.franceschini.test
An implementation of the two-sample multivariate
Kolmogorov-Smirnov test described by Fasano and Fr ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Connor Puritz (view profile)
compound.Cox
Univariate feature selection and compound covariate methods under the Cox model with high-dimensiona ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Takeshi Emura (view profile)
GNAR
Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matt Nunes (view profile)