Learn R Programming

HelpersMG (version 2026.2.28)

Tools for Various R Functions Helpers

Description

Contains miscellaneous functions useful for managing 'NetCDF' files (see ), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.

Copy Link

Version

Install

install.packages('HelpersMG')

Monthly Downloads

827

Version

2026.2.28

License

GPL-2

Maintainer

Marc Girondot

Last Published

February 28th, 2026

Functions in HelpersMG (2026.2.28)

Return a moving average of a vector.

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

Probability_Best_Model_WAIC

Return the probability of models compared with loo being the best

Delete a results managment or a result within a results managment from an object

Create a results managment or add a value in a results managment to an object

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Generates set of parameters to be used with LD50_MHmcmc()

Duplicate a results managment within an object.

Return the list of results managment of an object.

Get a value in a results managment to an object

Return the codes (in UTF-8) of a string

RectangleRegression

Return parameters of rectangle regression

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

Add a S3 class to an object.

Extract quantile distribution from mcmcComposite object

Distribution of the sum independent negative binomial random variables.

Standard error of parameters based on Hessian matrix

ScalePreviousPlot

Return the scale of the previous plot

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

Plot a barplot graph with error bar on y

Draw curved lines with arrowhead

Convert one Date-Time from one timezone to another

Extract parameters from mcmcComposite object

Distribution of the fitted distribution without cut.

Return the characters defined by the codes

Run a shiny application for basic functions of comparison

Compares the AIC of several outputs

Compares the AICc of several outputs

Compares the BIC of several outputs

duplicated_packages

List the duplicated packages with their locations

Plot an ellipse

contingencyTable.compare

Contingency table comparison using Akaike weight

Return the flexit

fitdistrquantiles

Parameters of beta, normal or gamma distribution based on quantiles.

Return path of file searched for in local disk based on its file name

List the installed packages with their locations

Return Log Likelihood of a fit generated by LD50

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

Return or the index in ncdf object from lat/longitude or inverse

Return an array with ncdf data

Modifies Elements of a Vector

Return the theoretical value for the histogram bar

Estimate indices in periodic timeseries based on anchored minimum and maximum

Distribution from minimum and maximum

Return log likelihood of a cutter fitted model

Density for the Beta distributions.

Run a shiny application to fit bone section

Write an ASCII Representation of a vector object

Generalized gamma distribution.

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

merge.mcmcComposite

Merge two mcmcComposite results

Add Scale to Existing Unprojected Map

Return the inverse logit

Search a string within files of a folder

Distribution of the fitted distribution without cut.

plot.PriorsmcmcComposite

Plot a prior defined with setPriors function

Plot results of cutter that best describe distribution

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

Random generation for Gaussian distributions different at left and right

Open a finder window with current working directory in MacOS X and windows

Plot results of LD50() that best describe LD50

Random values of unobserved values of cut distribution.

Quasi Variances for lmer Model Coefficients

Moon phase based on a date

Random numbers for the negative binomial distribution.

Display a compass rose

Print results of cutter that best describe distribution

Plot a male symbol in the plotting region

Estimate survival according to doses

Plot a female symbol in the plotting region

Plot a xy graph with error bar on x and/or y

Data series comparison using Akaike weight

Make a matrix symmetric

Random numbers for the negative binomial distribution.

Annual tide calendar for one particular location

Download a file from internet and save it locally

specify_decimal

Return a number as character with specified number of decimals

Read an ASCII text representation of a named or not vector object

Test if two vectors contains the same elements independently of their order

Add a plot to a previous one

plot.mcmcComposite

Plot the result of a mcmcComposite object

Return the logit

Set priors for MHalgoGen()

universalmclapply

Run the function FUN on X using parallel computing

Read files present in a folder and creates a list with the content of these files

Show the name of a point

summary.mcmcComposite

Summarize the result of a mcmcComposite object

Estimate the time of sunrise and sunset according to longitude, latitude and date

Generate random numbers from the multivariate normal distribution

Return AIC, AICc or BIC from a glm object

Return an index of quantitative asymmetry and complexity named Developmental Instability Index (DIx)

HelpersMG-package

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Estimate the parameters that best describe LD50

Metropolis-Hastings algorithm for LD50

Clean the dataframe before to be used with IC_threshold_matrix

FormatCompareAIC

Format data to be used with compare_AIC()

ChangeCoordinate

Return a value in a changed coordinate

IC_threshold_matrix

Calculate correlation matrix

IC_correlation_simplify

Simplify the correlation matrix