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

live: live: visualizing interpretable models to explain black box...

GITHUB

MI2DataLab/live: Local Interpretable (Model-Agnostic) Visual Explanations

R: live: visualizing interpretable models to explain black box...
liveR Documentation
live: visualizing

live: live: visualizing interpretable models to explain black box...

GITHUB

ModelOriented/live: Local Interpretable (Model-Agnostic) Visual Explanations

R: live: visualizing interpretable models to explain black box...
liveR Documentation
live: visualizing

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

live: live: visualizing interpretable models to explain black box...

CRAN

live: Local Interpretable (Model-Agnostic) Visual Explanations

R: live: visualizing interpretable models to explain black box...
liveR Documentation
live: visualizing

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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

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: 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

LIVE: Logistic-regression Instrumental Variables Estimator

CRAN

naivereg: Nonparametric Additive Instrumental Variable Estimator and Related IV Methods

Logistic-regression Instrumental Variables Estimator (LIVE). If the structural equation model is also high-dimensional

jpark-tamu/danbi: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

GITHUB

jpark-tamu/danbi: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

Package: danbi
Type: Package
Title: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

live: Local Interpretable (Model-Agnostic) Visual Explanations

CRAN

live: Local Interpretable (Model-Agnostic) Visual Explanations

Package: live
Type: Package
Title: Local Interpretable (Model-Agnostic) Visual Explanations

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

thomaslindsay86/Dan:

GITHUB

thomaslindsay86/Dan:

Package: Dan
Type: Package
Title: What the Package Does (Title Case)

cailab-tamu/PCrTdMa: Construct and Compare scGRN from Single-Cell Transcriptomic Data

GITHUB

cailab-tamu/PCrTdMa: Construct and Compare scGRN from Single-Cell Transcriptomic Data

: https://github.com/cailab-tamu/scTenifoldNet
BugReports: https://github.com/cailab-tamu/scTenifoldNet/issues
License