FEES: FEES

GITHUB

svanbelle/multiagree: Comparaison of dependent kappa coefficients

R: FEES
FEESR Documentation
FEES

pvc: Production of PVC by operator and resin railcar

CRAN

faraway: Datasets and Functions for Books by Julian Faraway

R: Production of PVC by operator and resin railcar
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

fee: Create Fee Activity Type Helper

GITHUB

chrishaarstick/madstork: MadStork Portfolio Management

R: Create Fee Activity Type Helper
feeR Documentation
Create Fee Activity Type Helper

di: Deficit Index (DI)

CRAN

di: Deficit Index (DI)

<ilya.zhbannikov@duke.edu>
Description: A set of utilities for calculating the Deficit (frailty) Index (DI) in gerontological

inst/doc/di-vignette.R
inst/doc/di-vignette.Rmd

dis: dis

GITHUB

JGCRI/rfasst: rfasst

R: dis
disR Documentation
dis

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

dis: dis

GITHUB

jonsampedro/rfasst: rfasst

R: dis
disR Documentation
dis

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

CRAN

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

Type: Package
Package: fee
Title: Estimate the First-Exposure Effect (FEE) using Count Data Models

di-di: This function calculates the Deficit Index (DI) and returns...

GITHUB

izhbannikov/di: Deficit Index (DI)

of two: di a column-vector containing
deficit indexes for each individual and
columns (rescaled if flag rescale was set

PVC: A Modified Algorithm for Principal Volatility Component

CRAN

tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series

Volatility Component Estimator
Description
PVC (Principal Volatility Component) estimator for the blind source

di-di: This function calculates the Deficit Index (DI) and returns...

CRAN

di: Deficit Index (DI)

of two: di a column-vector containing
deficit indexes for each individual and
columns (rescaled if flag rescale was set

di: Estima e Prever com Indice de Difussao (di)

GITHUB

santoscs/prevendo.inflacao.fatores.comuns: Prevendo Inflacao Com Modelo Fatores Comuns

R: Estima e Prever com Indice de Difussao (di)
diR Documentation
Estima e Prever com Indice de Difussao (di

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

fee: First-Exposure Effect

CRAN

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

of the covariates.
list: Evaluate the FEE at a user-specified set of covariate values.
If 'at = "AE"', the returned

izhbannikov/di: Deficit Index (DI)

GITHUB

izhbannikov/di: Deficit Index (DI)

<ilya.zhbannikov@duke.edu>
Description: A set of utilities for calculating the Deficit (frailty) Index (DI) in gerontological

man/di-di.Rd
vignettes/di-vignette.Rmd

di: Estima e Prever com Indice de Difussao (di)

GITHUB

santoscs/pimfc: Prevendo Inflacao Com Modelo Fatores Comuns

R: Estima e Prever com Indice de Difussao (di)
diR Documentation
Estima e Prever com Indice de Difussao (di

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

GITHUB

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")