ceil: Ceil

RFORGE

whitebox: 'WhiteboxTools' R Frontend

R: Ceil
ceilR Documentation
Ceil

ceil: MATLAB ceil function

RFORGE

matlab: 'MATLAB' Emulation Package

R: MATLAB ceil function
ceilR Documentation
MATLAB ceil function

ceil: MATLAB ceil function

CRAN

matlab: 'MATLAB' Emulation Package

R: MATLAB ceil function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

ceilings: a set of all available ceiling techniques

CRAN

NCA: Necessary Condition Analysis

R: a set of all available ceiling techniques
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

CRAN

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Package: gRc
Version: 0.5.1
Title: Inference in Graphical Gaussian Models with Edge and Vertex

demo/gRc-JSS.R
man/grc-summary.Rd

drop: drop

CRAN

SparkR: R Front End for 'Apache Spark'

R: drop
dropR Documentation
drop

grc-summary: The package 'gRc': summary information

CRAN

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

grc-summary: The package 'gRc': summary information

GITHUB

hojsgaard/gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

grc: Greece

GITHUB

jcpernias/RPIAAC: Datasets from PIAAC

for the International
Assesment of Adult competencies.
Usage

drop: Drop redundant information

CRAN

disordR: Non-Ordered Vectors

R: Drop redundant information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

drop: Drop HDF objects.

GITHUB

mkoohafkan/hdfqlr: Interface to 'HDFql' API

R: Drop HDF objects.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

drop: Drop redundant information

CRAN

clifford: Arbitrary Dimensional Clifford Algebras

R: Drop redundant information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

drop: Drop a Module

CRAN

mod: Lightweight and Self-Contained Modules for Code Organization

R: Drop a Module
dropR Documentation
Drop a Module

drop: water drop

GITHUB

FredrikWartenberg/rainbowLab: Generate Rainbows

R: water drop
dropR Documentation
water drop

drop: Drop a DeepBeliefNet

GITHUB

xrobin/DeepLearning: Deep Learning of neural networks

R: Drop a DeepBeliefNet
dropR Documentation
Drop a DeepBeliefNet

drop: Drop an element from an FLSAM.control object

GITHUB

flr/FLSAM: An Implementation of the State-Space Assessment Model for FLR

R: Drop an element from an FLSAM.control object
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