ram: RAM

GITHUB

jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

R: RAM
ramR Documentation
RAM

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

ram: ram: Reticular Action Model (RAM) Notation

GITHUB

jeksterslab/ram: Reticular Action Model (RAM) Notation

R: ram: Reticular Action Model (RAM) Notation
ramR Documentation
ram: Reticular Action Model (RAM) Notation

ram: RAM Matrix for a Structural-Equation Model

RFORGE

sem: Structural Equation Models

R: RAM Matrix for a Structural-Equation Model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

ram: RAM Matrix for a Structural-Equation Model

CRAN

sem: Structural Equation Models

R: RAM Matrix for a Structural-Equation Model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

ram: RAM Matrix for a Structural-Equation Model

RFORGE

sem3: Structural Equation Models

R: RAM Matrix for a Structural-Equation Model
ramR Documentation
RAM Matrix for a Structural-Equation Model

ram: RAM biomass and catch time series

GITHUB

cfree14/splink: Covariate-linked biomass dynamic models

R: RAM biomass and catch time series
ramR Documentation
RAM biomass and catch time series

ram: RAM Matrix for a Structural-Equation Model

RFORGE

sem1: Structural Equation Models

R: RAM Matrix for a Structural-Equation Model
ramR Documentation
RAM Matrix for a Structural-Equation Model

RAB: real adaboost (Friedman et al

GITHUB

lgatto/MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

ram: Return system random access memory (RAM) information

GITHUB

acidgenomics/r-acidbase: Acid Genomics Base Functions

R: Return system random access memory (RAM) information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

RAB: Compute the relative absolute bias of multiple estimators

CRAN

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)

RAB: real adaboost (Friedman et al

BIOC

MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

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")

RaMS: R Access to Mass-Spec Data

CRAN

RaMS: R Access to Mass-Spec Data

Package: RaMS
Type: Package
Title: R Access to Mass-Spec Data

R/RaMS-package.R
inst/doc/RaMS-and-friends.html

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")