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"symmetricize", "tide.info", "tnirp", "universalmclapply", "wget" ], "_help": [ { "page": "HelpersMG-package", "title": "Tools for Environmental Analyses, Ecotoxicology and Various R Functions", "topics": [ "HelpersMG-package" ] }, { "page": "plus-.PriorsmcmcComposite", "title": "Set priors for MHalgoGen()", "concept": [ "mcmcComposite functions" ], "topics": [ "+.PriorsmcmcComposite" ] }, { "page": "addS3Class", "title": "Add a S3 class to an object.", "topics": [ "addS3Class" ] }, { "page": "as.mcmc.mcmcComposite", "title": "Extract mcmc object from a mcmcComposite object", "concept": [ "mcmcComposite functions" ], "topics": [ "as.mcmc.mcmcComposite" ] }, { "page": "as.parameters", "title": "Extract parameters from mcmcComposite object", "concept": [ "mcmcComposite functions" ], "topics": [ "as.parameters" ] }, { "page": "as.quantiles", "title": "Extract quantile distribution from mcmcComposite object", "concept": [ "mcmcComposite functions" ], "topics": [ "as.quantiles" ] }, { "page": "asc", "title": "Return the codes (in UTF-8) of a string", "concept": [ "Characters" ], "topics": [ "asc" ] }, { "page": "barplot_errbar", "title": "Plot a barplot graph with error bar on y", "concept": [ "plot and barplot functions" ], "topics": [ "barplot_errbar" ] }, { "page": "cArrows", "title": "Draw curved lines with arrowhead", "topics": [ "cArrows" ] }, { "page": "ChangeCoordinate", "title": "Return a value in a changed coordinate", "topics": [ "ChangeCoordinate" ] }, { "page": "char", "title": "Return the characters defined by the codes", "concept": [ "Characters" ], "topics": [ "char" ] }, { "page": "compare", "title": "Run a shiny application for basic functions of comparison", "concept": [ "w-value functions" ], "topics": [ "compare" ] }, { "page": "compare_AIC", "title": "Compares the AIC of several outputs", "concept": [ "AIC" ], "topics": [ "compare_AIC" ] }, { "page": "compare_AICc", "title": "Compares the AICc of several outputs", "concept": [ "AIC" ], "topics": [ "compare_AICc" ] }, { "page": "compare_BIC", "title": "Compares the BIC of several outputs", "concept": [ "AIC" ], "topics": [ "compare_BIC" ] }, { "page": "contingencyTable.compare", "title": "Contingency table comparison using Akaike weight", "concept": [ "w-value functions" ], "topics": [ "contingencyTable.compare" ] }, { "page": "convert.tz", "title": "Convert one Date-Time from one timezone to another", "topics": [ "convert.tz" ] }, { "page": "cutter", "title": "Distribution of the fitted distribution without cut.", "concept": [ "Distributions" ], "topics": [ "cutter" ] }, { "page": "d", "title": "Write an ASCII Representation of a vector object", "concept": [ "Characters" ], "topics": [ "d" ] }, { "page": "dbeta_new", "title": "Density for the Beta distributions.", "concept": [ "Distributions" ], "topics": [ "dbeta_new" ] }, { "page": "dcutter", "title": "Distribution of the fitted distribution without cut.", "concept": [ "Distributions" ], "topics": [ "dcutter" ] }, { "page": "ggamma", "title": "Generalized gamma distribution.", "concept": [ "Distributions" ], "topics": [ "dggamma", "pggamma", "qggamma", "rggamma" ] }, { "page": "DIx", "title": "Return an index of quantitative asymmetry and complexity named Developmental Instability Index (DIx)", "topics": [ "DIx" ] }, { "page": "dnbinom_new", "title": "Random numbers for the negative binomial distribution.", "topics": [ "dnbinom_new" ] }, { "page": "Snbinom", "title": "Distribution of the sum independent negative binomial random variables.", "concept": [ "Distributions" ], "topics": [ "dSnbinom", "pSnbinom", "qSnbinom", "rSnbinom" ] }, { "page": "duplicated_packages", "title": "List the duplicated packages with their locations", "topics": [ "duplicated_packages" ] }, { "page": "ellipse", "title": "Plot an ellipse", "topics": [ "ellipse" ] }, { "page": "ELPDweight", "title": "Return the probability of models compared with loo being the best for prediction", "concept": [ "AIC" ], "topics": [ "ELPDweight" ] }, { "page": "ExtractAIC.glm", "title": "Return AIC, AICc or BIC from a glm object", "concept": [ "AIC" ], "topics": [ "ExtractAIC.glm" ] }, { "page": "fitdistrquantiles", "title": "Parameters of beta, normal or gamma distribution based on quantiles.", "topics": [ "fitdistrquantiles" ] }, { "page": "flexit", "title": "Return the flexit", "concept": [ "logit" ], "topics": [ "flexit" ] }, { "page": "format_ncdf", "title": "Return an array with ncdf data", "concept": [ "ncdf" ], "topics": [ "format_ncdf" ] }, { "page": "FormatCompareAIC", "title": "Format data to be used with compare_AIC()", "concept": [ "AIC" ], "topics": [ "FormatCompareAIC" ] }, { "page": "from_min_max", "title": "Distribution from minimum and maximum", "topics": [ "from_min_max" ] }, { "page": "IC_clean_data", "title": "Clean the dataframe before to be used with IC_threshold_matrix", "concept": [ "Iconography of correlations" ], "topics": [ "IC_clean_data" ] }, { "page": "IC_correlation_simplify", "title": "Simplify the correlation matrix", "concept": [ "Iconography of correlations" ], "topics": [ "IC_correlation_simplify" ] }, { "page": "IC_threshold_matrix", "title": "Calculate correlation matrix", "concept": [ "Iconography of correlations" ], "topics": [ "IC_threshold_matrix" ] }, { "page": "iCutter", "title": "Run a shiny application to fit bone section", "topics": [ "iCutter" ] }, { "page": "ind_long_lat", "title": "Return or the index in ncdf object from lat/longitude or inverse", "concept": [ "ncdf" ], "topics": [ "ind_long_lat" ] }, { "page": "index.periodic", "title": "Estimate indices in periodic timeseries based on anchored minimum and maximum", "concept": [ "Periodic patterns of indices" ], "topics": [ "index.periodic" ] }, { "page": "inside", "title": "Search a string within files of a folder", "topics": [ "inside" ] }, { "page": "invlogit", "title": "Return the inverse logit", "concept": [ "logit" ], "topics": [ "invlogit" ] }, { "page": "LD50", "title": "Estimate the parameters that best describe LD50", "concept": [ "LD50 functions" ], "topics": [ "LD50" ] }, { "page": "LD50_MHmcmc", "title": "Metropolis-Hastings algorithm for LD50", "concept": [ "LD50 functions" ], "topics": [ "LD50_MHmcmc" ] }, { "page": "LD50_MHmcmc_p", "title": "Generates set of parameters to be used with LD50_MHmcmc()", "concept": [ "LD50 functions" ], "topics": [ "LD50_MHmcmc_p" ] }, { "page": "list.packages", "title": "List the installed packages with their locations", "topics": [ "list.packages" ] }, { "page": "local.search", "title": "Return path of file searched for in local disk based on its file name", "topics": [ "local.search" ] }, { "page": "logit", "title": "Return the logit", "concept": [ "logit" ], "topics": [ "logit" ] }, { "page": "logLik.compareAIC", "title": "Return Log Likelihood generated by FormatCompareAIC", "concept": [ "AIC functions" ], "topics": [ "logLik.compareAIC" ] }, { "page": "logLik.cutter", "title": "Return log likelihood of a cutter fitted model", "concept": [ "Distributions" ], "topics": [ "logLik.cutter" ] }, { "page": "logLik.LD50", "title": "Return Log Likelihood of a fit generated by LD50", "concept": [ "LD50 functions" ], "topics": [ "logLik.LD50" ] }, { "page": "merge.mcmcComposite", "title": "Merge two mcmcComposite results", "concept": [ "mcmcComposite functions" ], "topics": [ "merge.mcmcComposite" ] }, { "page": "MHalgoGen", "title": "Monte-Carlo Markov-chain with Metropolis-Hastings algorithm", "concept": [ "mcmcComposite functions" ], "topics": [ "MHalgoGen" ] }, { "page": "minmax.periodic", "title": "Search for minimum and maximum indices in periodic timeseries", "concept": [ "Periodic patterns of indices" ], "topics": [ "minmax.periodic" ] }, { "page": "modeled.hist", "title": "Return the theoretical value for the histogram bar", "topics": [ "modeled.hist" ] }, { "page": "modifyVector", "title": "Modifies Elements of a Vector", "topics": [ "modifyVector" ] }, { "page": "moon.info", "title": "Moon phase based on a date", "concept": [ "Periodic patterns of indices" ], "topics": [ "moon.info" ] }, { "page": "MovingWindow", "title": "Return a moving average of a vector.", "topics": [ "MovingWindow" ] }, { "page": "NagelkerkeScaledR2", "title": "Return the scaled R2 defined by Nagelkerke (1991)", "topics": [ "NagelkerkeScaledR2" ] }, { "page": "newcompassRose", "title": "Display a compass rose", "topics": [ "newcompassRose" ] }, { "page": "newmap.scale", "title": "Add Scale to Existing Unprojected Map", "topics": [ "newmap.scale" ] }, { "page": "openwd", "title": "Open a finder window with current working directory in MacOS X and windows", "topics": [ "openwd" ] }, { "page": "plot_add", "title": "Add a plot to a previous one", "concept": [ "plot and barplot functions" ], "topics": [ "plot_add" ] }, { "page": "plot_errbar", "title": "Plot a xy graph with error bar on x and/or y", "concept": [ "plot and barplot functions" ], "topics": [ "plot_errbar" ] }, { "page": "plot.cutter", "title": "Plot results of cutter that best describe distribution", "concept": [ "Distributions" ], "topics": [ "plot.cutter" ] }, { "page": "plot.IconoCorel", "title": "Clean the dataframe before to be used with IC_threshold_matrix", "concept": [ "Iconography of correlations" ], "topics": [ "plot.IconoCorel" ] }, { "page": "plot.LD50", "title": "Plot results of LD50() that best describe LD50", "concept": [ "LD50 functions" ], "topics": [ "plot.LD50" ] }, { "page": "plot.mcmcComposite", "title": "Plot the result of a mcmcComposite object", "concept": [ "mcmcComposite functions" ], "topics": [ "plot.mcmcComposite" ] }, { "page": "plot.PriorsmcmcComposite", "title": "Plot a prior defined with setPriors function", "concept": [ "mcmcComposite functions" ], "topics": [ "plot.PriorsmcmcComposite" ] }, { "page": "predict.LD50", "title": "Estimate survival according to doses", "concept": [ "LD50 functions" ], "topics": [ "predict.LD50" ] }, { "page": "print.cutter", "title": "Print results of cutter that best describe distribution", "concept": [ "Distributions" ], "topics": [ "print.cutter" ] }, { "page": "qvlmer", "title": "Quasi Variances for lmer Model Coefficients", "topics": [ "qvlmer" ] }, { "page": "r2norm", "title": "Random generation for Gaussian distributions different at left and right", "concept": [ "Distributions" ], "topics": [ "r2norm" ] }, { "page": "RandomFromHessianOrMCMC", "title": "Random numbers based on Hessian matrix or MCMC", "topics": [ "RandomFromHessianOrMCMC" ] }, { "page": "rcutter", "title": "Random values of unobserved values of cut distribution.", "concept": [ "Distributions" ], "topics": [ "rcutter" ] }, { "page": "read_folder", "title": "Read files present in a folder and creates a list with the content of these files", "topics": [ "read_folder" ] }, { "page": "RectangleRegression", "title": "Return parameters of rectangle regression", "concept": [ "Rectangle Regression" ], "topics": [ "RectangleRegression" ] }, { "page": "RM_add", "title": 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