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
txshift
View on CRAN: Click
here
Download and install txshift package within the R console
Install from CRAN:
install.packages("txshift")
Install from Github:
library("remotes")
install_github("cran/txshift")
Install by package version:
library("remotes")
install_version("txshift", "0.3.8")
Attach the package and use:
library("txshift")
Maintained by
Nima Hejazi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-25
Latest Update: 2022-02-09
Description:
Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for the counterfactual mean value of an outcome of interest under an additive modified treatment policy, a stochastic intervention that may depend on the natural value of the exposure. To accommodate settings with outcome-dependent two-phase sampling, procedures incorporating inverse probability of censoring weighting are provided to facilitate the construction of inefficient and efficient one-step and targeted minimum loss estimators.The causal parameter and its estimation were first described by Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust estimation procedure and its application to data from two-phase sampling designs is detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, and DC Benkeser (2020) <doi:10.1111/biom.13375>. The software package implementation is described in NS Hejazi and DC Benkeser (2020) <doi:10.21105/joss.02447>. Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model in 'sl3', available for download from GitHub using 'remotes::install_github("tlverse/sl3")'.
How to cite:
Nima Hejazi (2020). txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions. R package version 0.3.8, https://cran.r-project.org/web/packages/txshift. Accessed 22 Dec. 2024.
Previous versions and publish date:
Other packages that cited txshift R package
View txshift citation profile
Other R packages that txshift depends,
imports, suggests or enhances
Complete documentation for txshift
Functions, R codes and Examples using
the txshift R package
Some associated functions: bound_precision . bound_propensity . confint.txshift . eif . est_Hn . est_Q . est_g_cens . est_g_exp . est_samp . fit_fluctuation . ipcw_eif_update . msm_vimshift . onestep_txshift . plot.txshift_msm . print.txshift . print.txshift_msm . scale_to_original . scale_to_unit . shift_additive . tmle_txshift . txshift .
Some associated R codes: bound.R . confint.R . eifs.R . fit_mechanisms.R . msm.R . onestep_txshift.R . plots.R . shift_funs.R . tmle_txshift.R . txshift.R . utils.R . zzz.R . Full txshift 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
dmlalg
Implementation of double machine learning (DML) algorithms in R,
based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Corinne Emmenegger (view profile)
Rfast2
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Manos Papadakis (view profile)
tropAlgebra
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Muhammad Kashif Hanif (view profile)
LOGANTree
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Qi Qin (view profile)
wordspace
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephanie Evert (view profile)
composits
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sevvandi Kandanaarachchi (view profile)