FEES: FEES

GITHUB

svanbelle/multiagree: Comparaison of dependent kappa coefficients

R: FEES
FEESR Documentation
FEES

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

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

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

Park: Park

GITHUB

cboettig/schemar: Create Structured Data Using the Schema.org Vocabulary

R: Park
ParkR Documentation
Park

opus: Filtered Top-k Association Discovery of Self-Sufficient

CRAN

opusminer: OPUS Miner Algorithm for Filtered Top-k Association Discovery

Discovery of Self-Sufficient Itemsets
Description
opus finds the top k productive, non-redundant itemsets on the

Parks: Parks table

CRAN

Lahman: Sean 'Lahman' Baseball Database

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

parks: Austin parks - a dataset of park boundaries developed by the...

GITHUB

mhweber/awra2020spatial: Data package for AWRA 2020 spatial workshop

R: Austin parks - a dataset of park boundaries developed by the...
parksR Documentation
Austin parks - a dataset

parking: Territoriality in Parking

GITHUB

homerhanumat/tigerData: GC Statistics Datasets

R: Territoriality in Parking
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

parks: Get parks

GITHUB

r4fun/themeparks: R interface to themeparks API

R: Get parks
parksR Documentation
Get parks

fee: First-Exposure Effect

CRAN

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

-exposure effect (FEE) from a fitted 'oneinfl' model object.
The FEE measures the difference between the expected count

parks: Austin parks - a dataset of park boundaries developed by the...

GITHUB

mhweber/Rspatialworkshop: R spatial workshop package

R: Austin parks - a dataset of park boundaries developed by the...
const macros = { "\\R": "\\textsf{R}", "\\code

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

parks: Lookup-table for park names

GITHUB

sckott/usgs: R interface to USGS APIs

R: Lookup-table for park names
parksR Documentation
Lookup-table for park names

parks: Location of parks in Iowa

GITHUB

DSPG-ISU/DSPG: Data Basis for DSPG Projects at ISU

R: Location of parks in Iowa
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

parks: Visitor and resource usage to a national park

CRAN

demodelr: Simulating Differential Equations with Data

R: Visitor and resource usage to a national park
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

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")