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HelpersMG (version 2026.8.24)

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.

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Version

Install

install.packages('HelpersMG')

Monthly Downloads

510

Version

2026.8.24

License

GPL-2

Maintainer

Marc Girondot

Last Published

August 24th, 2026

Functions in HelpersMG (2026.8.24)

Generates set of parameters to be used with LD50_MHmcmc()

Duplicate a results managment within an object.

Add a S3 class to an object.

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

Return the list of results managment of an object.

Get a value in a results managment to an object

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

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

Extract parameters from mcmcComposite object

ScalePreviousPlot

Return the scale of the previous plot

Distribution of the sum independent negative binomial random variables.

RectangleRegression

Return parameters of rectangle regression

Standard error of parameters based on Hessian matrix

Return the characters defined by the codes

Run a shiny application for basic functions of comparison

contingencyTable.compare

Contingency table comparison using Akaike weight

Compares the BIC of several outputs

Compares the AICc of several outputs

Compares the AIC of several outputs

Draw curved lines with arrowhead

Plot a barplot graph with error bar on y

Convert one Date-Time from one timezone to another

Distribution of the fitted distribution without cut.

Density for the negative binomial distribution - Alternative parametrization.

duplicated_packages

List the duplicated packages with their locations

fitdistrquantiles

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

Return an array with ncdf data

Distribution of the fitted distribution without cut.

Plot an ellipse

Density for the Beta distributions.

Write an ASCII Representation of a vector object

Return the flexit

Search a string within files of a folder

Generalized gamma distribution.

List the installed packages with their locations

Distribution from minimum and maximum

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

Run a shiny application to fit bone section

Estimate indices in periodic timeseries based on anchored minimum and maximum

Return Log Likelihood of a fit generated by LD50

Return the theoretical value for the histogram bar

Modifies Elements of a Vector

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

Add Scale to Existing Unprojected Map

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

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

Return the logit

Return log likelihood of a cutter fitted model

merge.mcmcComposite

Merge two mcmcComposite results

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

Return the inverse logit

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

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

Display a compass rose

Moon phase based on a date

+.PriorsmcmcComposite

Set priors for MHalgoGen()

Estimate survival according to doses

Print results of cutter that best describe distribution

Plot results of LD50() that best describe LD50

Generate random numbers from the multivariate normal distribution

Plot results of cutter that best describe distribution

Data series comparison using Akaike weight

Set priors for MHalgoGen()

plot.PriorsmcmcComposite

Plot a prior defined with setPriors function

Random generation for Gaussian distributions different at left and right

Quasi Variances for lmer Model Coefficients

Random values of unobserved values of cut distribution.

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

Add a plot to a previous one

plot.mcmcComposite

Plot the result of a mcmcComposite object

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

summary.mcmcComposite

Summarize the result of a mcmcComposite object

Plot a female symbol in the plotting region

Plot a male symbol in the plotting region

Make a matrix symmetric

Annual tide calendar for one particular location

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

Random numbers for the negative binomial distribution.

universalmclapply

Run the function FUN on X using parallel computing

Download a file from internet and save it locally

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

Show the name of a point

specify_decimal

Return a number as character with specified number of decimals

Set priors for MHalgoGen()

IC_threshold_matrix

Calculate correlation matrix

ChangeCoordinate

Return a value in a changed coordinate

Clean the dataframe before to be used with IC_threshold_matrix

IC_correlation_simplify

Simplify the correlation matrix

HelpersMG-package

Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Return the probability of models compared with loo being the best for prediction

FormatCompareAIC

Format data to be used with compare_AIC()

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

Return AIC, AICc or BIC from a glm object

Estimate the parameters that best describe LD50

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Metropolis-Hastings algorithm for LD50

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

Return a moving average of a vector.

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

Posterior Predictive Distribution from mcmcComposite object

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