asap: The ASAP Data Set

CRAN

PRISMA: Protocol Inspection and State Machine Analysis

R: The ASAP Data Set
asapR Documentation
The ASAP Data Set

asap: The ASAP Data Set

GITHUB

tammok/PRISMA: Protocol Inspection and State Machine Analysis

R: The ASAP Data Set
asapR Documentation
The ASAP Data Set

asap: The ASAP Data Set

GITHUB

yasong/PRISMA: Protocol Inspection and State Machine Analysis

R: The ASAP Data Set
asapR Documentation
The ASAP Data Set

taman: Luas Taman Kota Di Sub Wilayah Kota (SWK) Bandung Tahun 2018

GITHUB

mohrosidi/envbandung: Data Lingkungan Hidup Open Data Bandung

R: Luas Taman Kota Di Sub Wilayah Kota (SWK) Bandung Tahun 2018
tamanR Documentation
Luas Taman Kota Di Sub Wilayah

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

magellan: Functions generating the fitness of the mutants' genotypes

GITHUB

YoannAnciaux/inferenceFitnessLandscape: What the Package Does (One Line, Title Case)

MAGELLAN. See
Rstudio.
Warning : These functions return malthusian fitnesses (also called log fitnesses).

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")

minimization: Tree minimization

GITHUB

ningshi/ATEN: ATEN

R: Tree minimization
minimizationR Documentation
Tree minimization

minimal: Minimal template

GITHUB

hrbrmstr/markdowntemplates: Alternate R Markdown Templates

R: Minimal template
minimalR Documentation
Minimal template

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

minimize: Minimization rutine

GITHUB

msalibian/RobustFPLM: Robust estimators for Functional Partial Linear Models

R: Minimization rutine
minimizeR Documentation
Minimization rutine

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

minimize: Minimize a differentiable multivariate function.

GITHUB

maddin79/darch: Package for Deep Architectures and Restricted Boltzmann Machines

R: Minimize a differentiable multivariate function.
minimizeR Documentation
Minimize a differentiable multivariate

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)

minimize: Minimize a truth table

CRAN

QCA: Qualitative Comparative Analysis

R: Minimize a truth table
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

minimize: Minimize an Objective Function

CRAN

EmiR: Evolutionary Minimizer for R

R: Minimize an Objective Function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function