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| HelpersMG-package | Tools for Environmental Analyses, Ecotoxicology and Various R Functions |
| as.mcmc.mcmcComposite | Extract mcmc object from a mcmcComposite object |
| as.parameters | Extract parameters from mcmcComposite object |
| as.quantiles | Extract quantile distribution from mcmcComposite object |
| asc | Return the codes (in UTF-8) of a string |
| barplot_errbar | Plot a barplot graph with error bar on y |
| cArrows | Draw curved lines with arrowhead |
| ChangeCoordinate | Return a value in a changed coordinate |
| chr | Return the characters defined by the codes |
| clean.knitr | Delete temporary files created during knitr compile |
| compare | Run a shiny application for basic functions of comparison |
| compare_AIC | Compares the AIC of several outputs |
| compare_AICc | Compares the AICc of several outputs |
| compare_BIC | Compares the BIC of several outputs |
| contingencyTable.compare | Contingency table comparison using Akaike weight |
| convert.tz | Convert one Date-Time from one timezone to another |
| d | Write an ASCII Representation of a vector object |
| dbeta_new | Density for the Beta distributions. |
| DIx | Return an index of quantitative asymmetry and complexity named Developmental Instability Index (DIx) |
| dSnbinom | Density for the sum of random variable with negative binomial distributions. |
| duplicated_packages | List the duplicated packages with their locations |
| ellipse | Plot an ellipse |
| ExtractAIC.glm | Return AIC, AICc or BIC from a glm object |
| flexit | Return the flexit |
| FormatCompareAIC | Format data to be used with compare_AIC() |
| format_ncdf | Return an array with ncdf data |
| IC_clean_data | Clean the dataframe before to be used with IC_threshold_matrix |
| IC_correlation_simplify | Simplify the correlation matrix |
| IC_threshold_matrix | Calculate correlation matrix |
| index.periodic | Estimate indices in periodic timeseries based on anchored minimum and maximum |
| ind_long_lat | Return or the index in ncdf object from lat/longitude or inverse |
| inside.search | Search a string within files of a folder |
| invlogit | Return the inverse logit |
| LD50 | Estimate the parameters that best describe LD50 |
| LD50_MHmcmc | Metropolis-Hastings algorithm for LD50 |
| LD50_MHmcmc_p | Generates set of parameters to be used with LD50_MHmcmc() |
| list.packages | List the installed packages with their locations |
| local.search | Return path of file searched for in local disk based on its file name |
| logit | Return the logit |
| logLik.compareAIC | Return Log Likelihood generated by FormatCompareAIC |
| logLik.LD50 | Return Log Likelihood of a fit generated by LD50 |
| merge.mcmcComposite | Merge two mcmcComposite results |
| MHalgoGen | Monte-Carlo Markov-chain with Metropolis-Hastings algorithm |
| minmax.periodic | Search for minimum and maximum indices in periodic timeseries |
| modeled.hist | Return the theoretical value for the histogram bar |
| modifyVector | Modifies Elements of a Vector |
| moon.info | Moon phase based on a date |
| MovingWindow | Return a moving average of a vector. |
| NagelkerkeScaledR2 | Return the scaled R2 defined by Nagelkerke (1991) |
| newcompassRose | Display a compass rose |
| newmap.scale | Add Scale to Existing Unprojected Map |
| openwd | Open a finder window with current working directory in MacOS X |
| plot.IconoCorel | Clean the dataframe before to be used with IC_threshold_matrix |
| plot.LD50 | Plot results of LD50() that best describe LD50 |
| plot.mcmcComposite | Plot the result of a mcmcComposite object |
| plot_add | Add a plot to a previous one |
| plot_errbar | Plot a xy graph with error bar on x and/or y |
| predict.LD50 | Estimate survival according to doses |
| pSnbinom | Distribution function for the sum of random variable with negative binomial distributions. |
| qSnbinom | Quantile function for the sum of random variable with negative binomial distributions. |
| qvlmer | Quasi Variances for lmer Model Coefficients |
| r2norm | Random generation for Gaussian distributions different at left and right |
| RandomFromHessianOrMCMC | Random numbers based on Hessian matrix or MCMC |
| read_folder | Read files present in a folder and creates a list with the content of these files |
| RectangleRegression | Return parameters of rectangle regression |
| RM_add | Create a results managment or add a value in a results managment to an object |
| RM_delete | Delete a results managment or a result within a results managment from an object |
| RM_duplicate | Duplicate a results managment within an object. |
| RM_get | Get a value in a results managment to an object |
| RM_list | Return the list of results managment of an object. |
| rnbinom_new | Random numbers for the negative binomial distribution. |
| rSnbinom | Random generation for the sum of random variable with negative binomial distributions. |
| ScalePreviousPlot | Return the scale of the previous plot |
| SEfromHessian | Standard error of parameters based on Hessian matrix |
| series.compare | Data series comparison using Akaike weight |
| show_name | Show the name of a point |
| similar | Test if two vectors contains the same elements independently of their order |
| specify_decimal | Return a number as character with specified number of decimals |
| summary.mcmcComposite | Summarize the result of a mcmcComposite object |
| sun.info | Estimate the time of sunrise and sunset according to longitude, latitude and date |
| symbol.Female | Plot a female symbol in the plotting region |
| symbol.Male | Plot a male symbol in the plotting region |
| symmetricize | Make a matrix symmetric |
| tide.info | Annual tide calendar for one particular location |
| tnirp | Read an ASCII text representation of a named or not vector object |
| universalmclapply | Run the function FUN on X using parallel computing |
| wget | Download a file from internet and save it locally |