ggtrans: 谷歌翻译

GITHUB

Gabegit/gmtools: My small tools for efficiency

R: 谷歌翻译
ggtransR Documentation
谷歌翻译

SSR: SSR

GITHUB

tbrycekelly/CCELIM: California Current Ecosystem Linear Inverse Model

R: SSR
SSRR Documentation
SSR

ssr: Recursive SSR computation of a segment

GITHUB

RoDivinity/BP2003: Structural break estimation and testing procedure

R: Recursive SSR computation of a segment
ssrR Documentation
Recursive SSR computation of a segment

ssr: Onedimensional SSR-model calculation

CRAN

sisireg: Sign-Simplicity-Regression-Solver

R: Onedimensional SSR-model calculation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ssr: Semi-Supervised Regression Methods

CRAN

ssr: Semi-Supervised Regression Methods

Package: ssr
Type: Package
Title: Semi-Supervised Regression Methods

inst/doc/ssr-package-vignette.R
inst/doc/ssr-package-vignette.Rmd

SSR: Shift-Share-Regression

GITHUB

AaarrrRookie/GWR: fGWR

implementiert.
Data muss vom Typ morbiSet sein.
Usage

SSR: Spherical Scoring Rule

CRAN

measures: Performance Measures for Statistical Learning

rules. Decision Analysis, 4(2), 49-65.
Usage
SSR(probabilities, truth)

SSR: Spherical Scoring Rule

GITHUB

mlr-org/measures: Performance Measures for Statistical Learning

rules. Decision Analysis, 4(2), 49-65.
Usage
SSR(probabilities, truth)

ssr: Decompose a planar shape (polygon) to produce area

CRAN

ShapePattern: Tools for Analyzing Shapes and Patterns

(imported from a shapefile), ssr decomposes the shape by iteratively shrinking it by a specified distance until it becomes

ssr: Fit a General Smoothing Spline Regression Model

GITHUB

catherinewang1/assist: A Suite of R Functions Implementing Spline Smoothing Techniques

Model
Description
Returns an object of class ssr which is a general/generalized/correlated smoothing spline fit.

SSR: Computation of reliability of stress-strength models

CRAN

StressStrength: Computation and Estimation of Reliability of Stress-Strength Models

and the stress respectively, the function computes the reliability R=P(X>Y)
Usage
SSR(parx, pary, family = "normal")

ssr: sum of squares residuals

GITHUB

MoseleyBioinformaticsLab/FTMS.peakCharacterization: Functionality for Detecting and Characterizing Peaks

residuals from an lm object
Usage
ssr(object)

ssr: sum of squares residuals

GITHUB

MoseleyBioinformaticsLab/ScanCentricPeakCharacterization: Functionality for Characterizing Peaks in Mass Spectrometry in a Scan-Centric Manner

of squares residuals from an lm object
Usage
ssr(object)

ssr: Fit a General Smoothing Spline Regression Model

CRAN

assist: A Suite of R Functions Implementing Spline Smoothing Techniques

Regression Model
Description
Returns an object of class ssr which is a general/generalized/correlated smoothing spline fit

ssr: Fits a semi-supervised regression model

CRAN

ssr: Semi-Supervised Regression Methods

is performed.
Usage
ssr(theFormula, L, U, regressors = list(lm = lm, knn = caret::knnreg),

ssr: Fits a semi-supervised regression model

GITHUB

enriquegit/ssr: Semi-Supervised Regression Methods

is performed.
Usage
ssr(theFormula, L, U, regressors = list(lm = lm, knn = caret::knnreg),

enriquegit/ssr: Semi-Supervised Regression Methods

GITHUB

enriquegit/ssr: Semi-Supervised Regression Methods

Package: ssr
Type: Package
Title: Semi-Supervised Regression Methods

vignettes/ssr-package-vignette.Rmd

tg: tg "to grob" helper function

GITHUB

almartin82/mapvizieR: Visualization and Data Analysis tools for NWEA MAP student data

R: tg "to grob" helper function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

reichlab/dengue-ssr-prediction: Prediction via kernel conditional density estimation with non-product kernel

GITHUB

reichlab/dengue-ssr-prediction: Prediction via kernel conditional density estimation with non-product kernel specifications

Package: ssr
Title: Prediction via kernel conditional density estimation with non-product kernel specifications
Version

R/ssr-dengue-competition.R
R/ssr-estimation.R