eva: Loglikelihood adjustment for eva fits

CRAN

lax: Loglikelihood Adjustment for Extreme Value Models

covariates
covs$Trend2 <- rnorm(n)
covs$Trend3 <- 30 * runif(n)

eva: eva: Extreme Value Analysis with Goodness-of-Fit Testing

CRAN

eva: Extreme Value Analysis with Goodness-of-Fit Testing

R: eva: Extreme Value Analysis with Goodness-of-Fit Testing
evaR Documentation
eva: Extreme Value Analysis

eva: eva: Extreme Value Analysis with Goodness-of-Fit Testing

GITHUB

lbelzile/eva: Extreme Value Analysis with Goodness-of-Fit Testing

R: eva: Extreme Value Analysis with Goodness-of-Fit Testing
evaR Documentation
eva: Extreme Value Analysis

eva: Evaporation data (observation and model)

CRAN

aws.wrfsmn: Data Processing of SMN Hi-Res Weather Forecast from 'AWS'

Description
Data of evaporation from in-situ observation and several soil model outputs
Usage

eva: Pipeline function to extract events

GITHUB

mpio-be/SNB2: Smart Nest-box Data Management

Description
Fetches the raw data using a connection to the database based on dbcon, then calculates when an individual

eva: Model statistical evaluation

CRAN

eva3dm: Evaluation of 3D Meteorological and Air Quality Models

and model data and can calculate the statistical evaluation or
categorical evaluation.
Usage

EVA: Evaluating main and interaction effects

CRAN

hySAINT: Hybrid Genetic and Simulated Annealing Algorithm for High Dimensional Linear Models with Interaction Effects

time.
This ensures a more efficient evaluation process.
Usage

eva: Extreme Value Analysis with Goodness-of-Fit Testing

CRAN

eva: Extreme Value Analysis with Goodness-of-Fit Testing

Package: eva
Title: Extreme Value Analysis with Goodness-of-Fit Testing
Date: 2020-11-14

data/lowestoft.rda
data/fortmax.rda

BB: Solving and Optimizing Large-Scale Nonlinear Systems

CRAN

BB: Solving and Optimizing Large-Scale Nonlinear Systems

Package: BB
Version: 2019.10-1
Title: Solving and Optimizing Large-Scale Nonlinear Systems

man/BB-package.Rd

BB: Solving and Optimizing Large-Scale Nonlinear Systems

RFORGE

BB: Solving and Optimizing Large-Scale Nonlinear Systems

Package: BB
Version: 2019.10-1
Title: Solving and Optimizing Large-Scale Nonlinear Systems

man/BB-package.Rd

BB: Public policy data on air pollution in the Valdivia commune,...

GITHUB

ElliottMardones/test10: foRgotten

R: Public policy data on air pollution in the Valdivia commune,...
BBR Documentation
Public policy data on air

bb: Bounding box generator

CRAN

tmaptools: Thematic Map Tools

data(World)
## get bounding box (similar to sp's function bbox)
bb(NLD_muni)

bb: Define project bounding box

GITHUB

k-hench/fftidy: Provides the R scripts for inner capuchin dominance analysis of the food for thought project

R: Define project bounding box
bbR Documentation
Define project bounding box

bbs: P-Spline Base-Learner for CoxFlexBoost

RFORGE

CoxFlexBoost: Boosting Flexible Cox Models (with Time-Varying Effects)

and time-varying
effects (and thus the baseline hazard) can be specified.
Usage

bb: Baseball

GITHUB

joemckean/mathstat: Introduction to Mathematical Statistics R Package

R: Baseball
bbR Documentation
Baseball

bb: Baseball

GITHUB

austinragotzy/mathstat: Introduction to Mathematical Statistics R Package

R: Baseball
bbR Documentation
Baseball

BB: Beta Binomial Distribution For Fitting a GAMLSS Model

GITHUB

Stan125/gamlss.dist: Distributions for Generalized Additive Models for Location Scale and Shape

# library(gamlss)
#data(aep)
# fits a Beta-Binomial model

BB: Beta Binomial Distribution For Fitting a GAMLSS Model

RFORGE

gamlss.dist: Distributions to be used for GAMLSS modelling.

(aep)
# fits a Beta-Binomial model
#h<-gamlss(y~ward+loglos+year, sigma.formula=~year+ward, family=BB, data=aep)

BB: The Beta-Binomial Distribution

CRAN

HRQoL: Health Related Quality of Life Analysis

k beta-binomial simulations for those parameters.
k <- 100
bb <- rBB(k,m,p,phi)