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HelpersMG (version 2026.3.31)

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

877

Version

2026.3.31

License

GPL-2

Maintainer

Marc Girondot

Last Published

March 31st, 2026

Functions in HelpersMG (2026.3.31)

Return the list of results managment of an object.

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

Duplicate a results managment within an object.

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

Metropolis-Hastings algorithm for LD50

Monte-Carlo Markov-chain with Metropolis-Hastings algorithm

Generates set of parameters to be used with LD50_MHmcmc()

Return a moving average of a vector.

NagelkerkeScaledR2

Return the scaled R2 defined by Nagelkerke (1991)

Get a value in a results managment to an object

Standard error of parameters based on Hessian matrix

Distribution of the sum independent negative binomial random variables.

Extract quantile distribution from mcmcComposite object

RandomFromHessianOrMCMC

Random numbers based on Hessian matrix or MCMC

Extract parameters from mcmcComposite object

ScalePreviousPlot

Return the scale of the previous plot

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

as.mcmc.mcmcComposite

Extract mcmc object from a mcmcComposite object

RectangleRegression

Return parameters of rectangle regression

Convert one Date-Time from one timezone to another

Add a S3 class to an object.

Plot a barplot graph with error bar on y

Compares the AIC of several outputs

Compares the AICc of several outputs

Compares the BIC of several outputs

contingencyTable.compare

Contingency table comparison using Akaike weight

Draw curved lines with arrowhead

Run a shiny application for basic functions of comparison

Return the characters defined by the codes

Distribution of the fitted distribution without cut.

Plot an ellipse

duplicated_packages

List the duplicated packages with their locations

fitdistrquantiles

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

Return the flexit

Return an array with ncdf data

Distribution from minimum and maximum

Density for the Beta distributions.

Run a shiny application to fit bone section

List the installed packages with their locations

Write an ASCII Representation of a vector object

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

Generalized gamma distribution.

Estimate indices in periodic timeseries based on anchored minimum and maximum

Random numbers for the negative binomial distribution.

Distribution of the fitted distribution without cut.

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

Return Log Likelihood of a fit generated by LD50

Return the theoretical value for the histogram bar

logLik.compareAIC

Return Log Likelihood generated by FormatCompareAIC

Modifies Elements of a Vector

Add Scale to Existing Unprojected Map

merge.mcmcComposite

Merge two mcmcComposite results

minmax.periodic

Search for minimum and maximum indices in periodic timeseries

Return the inverse logit

Search a string within files of a folder

Return log likelihood of a cutter fitted model

Display a compass rose

Moon phase based on a date

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

Return the logit

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

Plot results of LD50() that best describe LD50

plot.IconoCorel

Clean the dataframe before to be used with IC_threshold_matrix

+.PriorsmcmcComposite

Set priors for MHalgoGen()

Add a plot to a previous one

plot.mcmcComposite

Plot the result of a mcmcComposite object

plot.PriorsmcmcComposite

Plot a prior defined with setPriors function

Plot results of cutter that best describe distribution

Generate random numbers from the multivariate normal distribution

Print results of cutter that best describe distribution

Random values of unobserved values of cut distribution.

Estimate survival according to doses

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

Random numbers for the negative binomial distribution.

Data series comparison using Akaike weight

Set priors for MHalgoGen()

Set priors for MHalgoGen()

Show the name of a point

summary.mcmcComposite

Summarize the result of a mcmcComposite object

Quasi Variances for lmer Model Coefficients

universalmclapply

Run the function FUN on X using parallel computing

Random generation for Gaussian distributions different at left and right

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

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

specify_decimal

Return a number as character with specified number of decimals

Annual tide calendar for one particular location

Make a matrix symmetric

Plot a male symbol in the plotting region

Plot a female symbol in the plotting region

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

Download a file from internet and save it locally