cace: Compute the Posterior Distribution of the CACE

CRAN

noncomplyR: Bayesian Analysis of Randomized Experiments with Non-Compliance

R: Compute the Posterior Distribution of the CACE
caceR Documentation
Compute the Posterior Distribution of the CACE

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

PAPE: Estimation of the Population Average Prescription Effect

CRAN

evalITR: Evaluating Individualized Treatment Rules

in Imai and Li (2019).
Usage
PAPE(T, That, Y, budget = NA, centered = TRUE)

PAPE: Estimation of the Population Average Prescription Effect

GITHUB

MichaelLLi/evalITR: Evaluating Individualized Treatment Rules

in Imai and Li (2019).
Usage
PAPE(T, That, Y, budget = NA, centered = TRUE)

PAPE: Estimation of the Population Average Prescription Effect

CRAN

experiment: R Package for Designing and Analyzing Randomized Experiments

in Imai and Li (2019).
Usage
PAPE(T, That, Y, plim = NA)

cace: Functions to estimate the complier average causal effect

GITHUB

denisagniel/synthate: Synthetic Causal Inference

causal effect or local average treatment effect
Usage
cace(ds, specific_cace, ...)

CACE: Wrapper

GITHUB

jackiemauro/CACE:

splitting.
Usage
CACE(y, a, z, cov, delta = 2)

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB

villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: statistic of the Watson goodness-of-fit test for the gamma

CRAN

gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)

wa: Extracts the weighted averages of a CCA solution

CRAN

MultBiplotR: Multivariate Analysis Using Biplots in R

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB

dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

jackiemauro/CACE:

GITHUB

jackiemauro/CACE:

Package: CACE
Title: What the Package Does (one line, title case)
Version: 0.0.0.9000

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

GITHUB

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

bcjaeger/Solo: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds

GITHUB

bcjaeger/Solo: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds!")

Package: Solo
Title: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds!")
Version: 0.1.0