digitsBase | Digit/Bit Representation of Integers in any Base |
fittingfunctions | This is a collection of functions designed to implement the... |
FMKLfittingandbasicfunctions | This is a collection of functions designed to find the... |
fun.auto.bimodal.ml | Fitting mixture of generalied lambda distribtions to data... |
fun.auto.bimodal.pml | Fitting mixture of generalied lambda distribtions to data... |
fun.auto.bimodal.qs | Fitting mixtures of generalied lambda distribtions to data... |
fun.beta | This is a collection of functions used in the calculation of... |
fun.bimodal.fit.ml | Finds the final fits using the maximum likelihood estimation... |
fun.bimodal.fit.pml | Finds the final fits using partition maximum likelihood... |
fun.bimodal.init | Finds the initial values for optimisation in fitting the... |
fun.check.gld | Check whether the RS or FMKL/FKML GLD is a valid GLD for... |
fun.check.gld.multi | Check whether the RS or FMKL/FKML GLD is a valid GLD for... |
fun.class.regime.bi | Classifies data into two groups using a clustering regime. |
fun.comp.moments.ml | Compare the moments of the data and the fitted univariate... |
fun.comp.moments.ml.2 | Compare the moments of the data and the fitted univariate... |
fun.data.fit.hs | Fit RS and FMKL generalised distributions to data using... |
fun.data.fit.hs.nw | Fit RS and FMKL generalised distributions to data using... |
fun.data.fit.lm | Fit data using L moment matching estimation for RS and FMKL... |
fun.data.fit.ml | Fit data using RS, FMKL maximum likelihood estimation and the... |
fun.data.fit.mm | Fit data using moment matching estimation for RS and FMKL GLD |
fun.data.fit.qs | Fit data using quantile matching estimation for RS and FMKL... |
fun.diag1 | Diagnostic function for theoretical distribution fits through... |
fun.diag2 | Diagnostic function for empirical data distribution fits... |
fun.diag.ks.g | Compute the simulated Kolmogorov-Smirnov tests for the... |
fun.diag.ks.g.bimodal | Compute the simulated Kolmogorov-Smirnov tests for the... |
fun.disc.estimation | Estimates the mean and variance after cutting up a vector of... |
fun.gen.qrn | Finds the low discrepancy quasi random numbers |
fun.lm.theo.gld | Find the theoretical first four L moments of the generalised... |
fun.mApply | Applying functions based on an index for a matrix. |
fun.minmax.check.gld | Check whether the specified GLDs cover the minimum and the... |
fun.moments.bimodal | Finds the moments of fitted mixture of generalised lambda... |
fun.moments.r | Calculate mean, variance, skewness and kurtosis of a... |
fun.nclass.e | Estimates the number of classes or bins to smooth over in the... |
fun.plot.fit | Plotting the univariate generalised lambda distribution fits... |
fun.plot.fit.bm | Plotting mixture of two generalised lambda distributions on... |
fun.plot.many.gld | Plotting many univariate generalised lambda distributions on... |
fun.rawmoments | Computes the raw moments of the generalised lambda... |
fun.RMFMKL.hs | Fit FMKL generalised distribution to data using discretised... |
fun.RMFMKL.hs.nw | Fit FMKL generalised distribution to data using discretised... |
fun.RMFMKL.lm | Fit FMKL generalised lambda distribution to data set using L... |
fun.RMFMKL.ml | Fit FMKL generalised lambda distribution to data set using... |
fun.RMFMKL.ml.m | Fit RS generalised lambda distribution to data set using... |
fun.RMFMKL.mm | Fit FMKL generalised lambda distribution to data set using... |
fun.RMFMKL.qs | Fit FMKL generalised lambda distribution to data set using... |
fun.RPRS.hs | Fit RS generalised distribution to data using discretised... |
fun.RPRS.hs.nw | Fit RS generalised distribution to data using discretised... |
fun.RPRS.lm | Fit RS generalised lambda distribution to data set using L... |
fun.RPRS.ml | Fit RS generalised lambda distribution to data set using... |
fun.RPRS.ml.m | Fit RS generalised lambda distribution to data set using... |
fun.RPRS.mm | Fit RS generalised lambda distribution to data set using... |
fun.RPRS.qs | Fit RS generalised lambda distribution to data set using... |
fun.simu.bimodal | Simulate a mixture of two generalised lambda distributions. |
fun.theo.bi.mv.gld | Calculates the theoretical mean, variance, skewness and... |
fun.theo.mv.gld | Find the theoretical first four moments of the generalised... |
fun.which.zero | Determine which values are zero. |
fun.zero.omit | Returns a vector after removing all the zeros. |
gl.check.lambda.alt | Checks whether the parameters provided constitute a valid... |
gl.check.lambda.alt1 | Checks whether the parameters provided constitute a valid... |
GLDEX.package | This package fits RS and FMKL generalised lambda... |
GLDfunctions | The Generalised Lambda Distribution Family |
hiddenfunctions | This is a collection of functions designed to implement the... |
histsu | Histogram with exact number of bins specified by the user |
is.inf | Returns a logical vecto, TRUE if the value is Inf or -Inf. |
is.notinf | Returns a logical vector TRUE, if the value is not Inf or... |
ks.gof | Kolmogorov-Smirnov test |
Lmoments | L-moments |
optimisationfunctions | This is a collection of functions used in the optimisation... |
pretty.su | An alternative to the normal pretty function in R. |
qqplot.gld | Do a quantile plot on the univariate distribution fits. |
qqplot.gld.bi | Do a quantile plot on the bimodal distribution fits. |
QUnif | Quasi Randum Numbers via Halton Sequences |
RSfittingandbasicfunctions | This is a collection of functions designed to find the... |
skewnessandkurtosis | Compute skewness and kurtosis statistics |
starship | Carry out the "starship" estimation method for the... |
starship.adaptivegrid | Carry out the "starship" estimation method for the... |
starship.obj | Objective function that is minimised in starship estimation... |
t1lmoments | Trimmed L-moments |
which.na | Determine Missing Values |
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