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

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: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

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

of Washington.
Usage
data("WA")

jt: Junction Tree

GITHUB

mlindsk/jti: Junction Tree Inference

Usage
jt(x, evidence = NULL, flow = "sum", propagate = "full")
## S3 method for class 'charge'

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

jt: Junction Tree

CRAN

jti: Junction Tree Inference

passing
Usage
jt(x, evidence = NULL, flow = "sum", propagate = "full")

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

50: pass through constructor

RFORGE

SoilR: Models of Soil Organic Matter Decomposition

R: pass through constructor
DecompOp_method__DecompOpR Documentation
pass

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

RedTent/JT: My Personal Functions

GITHUB

RedTent/JT: My Personal Functions

Package: JT
Type: Package
Title: My Personal Functions

ITSLeeds/jts: Get Journey Time Statistics

GITHUB

ITSLeeds/jts: Get Journey Time Statistics

Package: jts
Title: Get Journey Time Statistics
Version: 0.0.0.9000

eat.unicorns.50: A student strategy

GITHUB

MartinKies/USLR: Reinforcement Learning with R

R: A student strategy
eat.unicorns.50R Documentation
A student strategy

dr-JT/workflow: psyworkflow

GITHUB

dr-JT/workflow: psyworkflow

Description: psyworkflow
Imports:
readr,

50-mb.print: Print Results of Model-Based Clustering

CRAN

pmclust: Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model

R: Print Results of Model-Based Clustering
mb.printR Documentation
Print