pinus: Pinus Taeda Data

GITHUB

DeivisonSouza/forester: Traditional Methods for Analyzing Forest Data

R: Pinus Taeda Data
pinusR Documentation
Pinus Taeda Data

Pinus: Transcriptomes of Pinus roots under a Temperature Gradient

CRAN

PLORN: Prediction with Less Overfitting and Robust to Noise

R: Transcriptomes of Pinus roots under a Temperature Gradient
PinusR Documentation
Transcriptomes of Pinus roots

photo: photo Description photo

GITHUB

HFpostdoc/sarModel: Sarracenia micro-ecosystem model

R: photo Description photo
photoR Documentation
photo

Pinus: Transcriptomes of Pinus roots under a Temperature Gradient

CRAN

QuESTr: Constructing Quantitative Environment Sensor using Transcriptomes

R: Transcriptomes of Pinus roots under a Temperature Gradient
PinusR Documentation
Transcriptomes of Pinus roots

Pinus: Transcriptomes of Pinus roots under a Temperature Gradient

GITHUB

takakoizumi/QuEST: Constructing Quantitative Environment Sensor using Transcriptomes

R: Transcriptomes of Pinus roots under a Temperature Gradient
PinusR Documentation
Transcriptomes of Pinus roots

Pinus: Transcriptomes of Pinus roots under a Temperature Gradient

CRAN

OmicSense: Biosensor Development using Omics Data

R: Transcriptomes of Pinus roots under a Temperature Gradient
const macros = { "\\R": "\\textsf{R}", "\\code

Photos: Create an instance to deal with photo files that has getGPS...

GITHUB

tpemartin/econDV2:

R: Create an instance to deal with photo files that has getGPS...
const macros = { "\\R": "\\textsf{R}", "\\code

effective: effective

GITHUB

magoulet93/RM.pwr: Calculate effective number of participant when repeating measurements

R: effective
effectiveR Documentation
effective

Effect: Effect

GITHUB

statwangz/susie: A simple new approach to variable selection in regression, with application to genetic fine-mapping

R: Effect
EffectR Documentation
Effect

Effect: Effect

GITHUB

statwangz/SuSiE: A simple new approach to variable selection in regression, with application to genetic fine-mapping

R: Effect
EffectR Documentation
Effect

effects: Effect Displays for Linear, Generalized Linear, and Other Models

RFORGE

effects: Effect Displays for Linear, Generalized Linear, and Other Models

Package: effects
Version: 4.2-3
Date: 2022-07-24

R/Effect-methods.R
inst/doc/effects-hex.pdf

effects: Effect Displays for Linear, Generalized Linear, and Other Models

CRAN

effects: Effect Displays for Linear, Generalized Linear, and Other Models

Package: effects
Version: 4.2-4
Date: 2025-07-29

R/Effect-methods.R
inst/doc/effects-hex.pdf

effects: Mixed Effects

CRAN

mbest: Moment-Based Estimation for Hierarchical Models

R: Mixed Effects
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

effect: Effects on biomass

CRAN

lemna: Lemna Ecotox Effect Model

R: Effects on biomass
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

effects: Mixed Effects

GITHUB

zhangns07/r-mbest-multilevel: Moment-Based Estimation for Hierarchical Models

R: Mixed Effects
effectsR Documentation
Mixed Effects

effects: Mixed Effects

GITHUB

patperry/r-mbest: Moment-Based Estimation for Hierarchical Models

R: Mixed Effects
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

effects: Image Effects

CRAN

magick: Advanced Graphics and Image-Processing in R

R: Image Effects
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

effects: Customise effects

GITHUB

JohnCoene/textillate: Animate text

R: Customise effects
textillateInR Documentation
Customise effects

effective: Compute Effective Resistance

GITHUB

kisungyou/T4network: Tools for Network Analysis

R: Compute Effective Resistance
effectiveR Documentation
Compute Effective Resistance