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A B C D E F G H I J L M N O P R S T V W Z misc
| acf-method | Class '"nl.fitt"' |
| all.vars-method | Class '"nl.form"' |
| atypicals | Class '"nl.fitt"' |
| atypicals-method | Class '"nl.fitt"' |
| atypicals-method | Class '"nl.fitt.gn"' |
| atypicals-method | Class '"nl.fitt.rgn"' |
| atypicals.deleted | Class '"nl.fitt"' |
| atypicals.deleted-method | Class '"nl.fitt"' |
| bmn.ir | Iran Broad Mony data. |
| callorNULL | "OR" Class |
| callorNULL-class | Class '"or classes"' |
| carbon | Carbon Dioxide data. |
| characterorNULL | "OR" Class |
| characterorNULL-class | Class '"or classes"' |
| convexpr2nlform | Convert 'expression' to 'nl.form' |
| convfkt2nlform | Convert 'fktlist' objects to 'nl.form'. |
| cow | Cow Data |
| CubInterp | WF optimization |
| curvature | Calculate (IE) Intrinsic curvature and (PE) Parameter curvature. |
| db.Fault | Fault database |
| db.method | methods database |
| db.methodBR | method branches database |
| dfr.corrts | Derivative free Two Stage estimate |
| dfr.hetro | Derivative free (CME) |
| dfr.hetroLS | Derivative free CLSME. |
| dfr.robcorrts | Robust two stage estimate |
| dfr.robhetro | Derivative free (RME) |
| dfr.robhetroLS | Derivative free RGME. |
| dfr.robloss | Robut loss function. |
| dfrmest.NLM | Derivative free MM-estimate |
| dlev | Class '"nl.fitt.rob"' |
| dlev-method | Class '"nl.fitt.rob"' |
| DrugKenakin | Responses to the concentration of an agonist in a functional assay. |
| eiginv | Inverse of matrix using eigenvalues. |
| eval-method | Class '"nl.form"' |
| eval.nl.form | Class '"nl.form"' |
| evald | 'eval' function. |
| evald-method | Class '"nl.form"' |
| expressionorNULL | "OR" Class |
| expressionorNULL-class | Class '"or classes"' |
| Fault | Class '"Fault"' |
| Fault-class | Class '"Fault"' |
| fittmethod | Class '"fittmethod"' |
| fittmethod-class | Class '"fittmethod"' |
| fittmethodorNULL | "OR" Class |
| fittmethodorNULL-class | Class '"or classes"' |
| fktlistex1 | Nonlinear model objects |
| fktlistex3 | Nonlinear model objects |
| fktlistex4 | Nonlinear model objects |
| fktlistex5 | Nonlinear model objects |
| fktlistex6 | Nonlinear model objects |
| fktlistex7 | Nonlinear model objects |
| fktmodels1 | Nonlinear model objects |
| fktmodels3 | Nonlinear model objects |
| fktmodels4 | Nonlinear model objects |
| fktmodels5 | Nonlinear model objects |
| fktmodels6 | Nonlinear model objects |
| fktmodels7 | Nonlinear model objects |
| fullqr | full rank QR decomposition. |
| functionorNULL | "OR" Class |
| functionorNULL-class | Class '"or classes"' |
| getInitial-method | Class '"nl.form"' |
| hat-method | Class '"nl.fitt"' |
| indifinv | Indefinite Inverse of matrix. |
| individ | Split individuals |
| integerorNULL | "OR" Class |
| integerorNULL-class | Class '"or classes"' |
| is.Fault | Check error |
| is.Faultwarn | Check error or warning |
| is.inf | Check IEEE Arithmetic Values |
| is.missing | Check IEEE Arithmetic Values |
| is.Warn | Check warning |
| jaclev | Jacobian Leverage for nonlinear regression. |
| JacobianLeverage | Class '"nl.fitt"' |
| JacobianLeverage-method | Class '"nl.fitt"' |
| JacobianLeverage-method | Class '"nl.fitt.rob"' |
| Lakes | Lakes Data |
| listorNULL | "OR" Class |
| listorNULL-class | Class '"or classes"' |
| logicalorNULL | "OR" Class |
| logicalorNULL-class | Class '"or classes"' |
| loss.chis | Hetroscedastic chi-square loss function. |
| loss.hetroWM | Weighted Robut loss function. |
| loss.robchis | Hetroscedastic chi-square robust loss function. |
| loss.SSQ | Sum of squared loss function. |
| lotsout | Artificially Contaminated Data from Logistic model. |
| matrixororNULL | "OR" Class |
| matrixororNULL-class | Class '"or classes"' |
| methane | Methane data. |
| mplot | Multiple Plot |
| mscale | Scale M-estimate |
| net.ch | China Net Money Data |
| net.ir | Iran Net Money Data. |
| net.kw | Kuwait Net Money Data. |
| net.sw | Sweden Net Money Data. |
| nl.corrts | Autocorrelated two stage estimate |
| nl.fitt | Class '"nl.fitt"' |
| nl.fitt-class | Class '"nl.fitt"' |
| nl.fitt.gn | Class '"nl.fitt.gn"' |
| nl.fitt.gn-class | Class '"nl.fitt.gn"' |
| nl.fitt.rgn | Class '"nl.fitt.rgn"' |
| nl.fitt.rgn-class | Class '"nl.fitt.rgn"' |
| nl.fitt.rob | Class '"nl.fitt.rob"' |
| nl.fitt.rob-class | Class '"nl.fitt.rob"' |
| nl.fitt.roborNULL | "OR" Class |
| nl.fitt.roborNULL-class | Class '"or classes"' |
| nl.fittorNULL | "OR" Class |
| nl.fittorNULL-class | Class '"or classes"' |
| nl.form | Class '"nl.form"' |
| nl.form-class | Class '"nl.form"' |
| nl.formorNULL | Class '"nl.formorNULL"' |
| nl.formorNULL-class | Class '"or classes"' |
| nl.hetro | Classic Multi Stage Estimate (CME). |
| nl.hetroLS | CLSME estimate. |
| nl.lmsGA | Fitt a nonlinear regression model by least median of squares. The Optimization is done by genetic algorithm. |
| nl.lmsNM | Fitt a nonlinear regression model by least median of squares. The Optimization is done by golden section method. |
| nl.lts | Compute (LTS) Least Trimmed Square Estimate. |
| nl.MLE | Nonlinear MLE |
| nl.mscale | Scale M-estimator with 50% breakdown. |
| nl.robcorrts | Robust two stage estimate |
| nl.robfuncs | Robust Loss functions provided for 'nlr'. |
| nl.robhetro | Robust Multi Stage Estimate. |
| nl.robhetroLS | Robust Generalized Multistage Estimate (RGME). |
| nl.robhetroWM | Weighted M-estimate. |
| nl.robmeas | Class '"nl.robmeas"' |
| nl.robmeas-class | Class '"nl.robmeas"' |
| nlmest.LM | Nonlinear MM-estimate using Levenberg-Marquardt algorithm. |
| nlmest.NLM | Nonlinear MM-estimate. |
| nlmest.NLM.sCase2 | Nonlinear MM-estimate. |
| nlmest.NLMf | Nonlinear MM-estimate. |
| nlmest.NM | Nonlinear MM-estimate, Nelder-Mead. |
| nlmest.RWT | Nonlinear MM-estimate using reweighting method. |
| nlmest.WF | Nonlinear MM-estimate using wolf conditions. |
| nlout | Nonlinear outlier detection. |
| nlout.JL | Nonlinear outlier detection. |
| nlr | Non-Linear Robust fitt. |
| nlr.control | list of nlr package controls. |
| nlrobj1 | Nonlinear model objects |
| nlrobj3 | Nonlinear model objects |
| nlrobj4 | Nonlinear model objects |
| nlrobj5 | Nonlinear model objects |
| nlrobj6 | Nonlinear model objects |
| nlrobj7 | Nonlinear model objects |
| nlrobjvarmdls1 | Variance model objects. |
| nlrobjvarmdls2 | Variance model objects. |
| nlrobjvarmdls3 | Variance model objects. |
| nlsnm | Least Square estimate. |
| nlsqr | Least Square estimate. |
| nlsqr.gn | Generalized Least Square estimate. |
| nlsqr2 | Least Square estimate. |
| nonrepl | Sample variance of response. |
| ntp | ntp data |
| numericorNULL | "OR" Class |
| numericorNULL-class | Class '"or classes"' |
| optim.NLM | NLM optimization. |
| optim.NM | NM optimization |
| optim.WF | WF optimization |
| parameter.names | Support for Functions 'nlr()' |
| parInfer | Class '"nl.fitt"' |
| parInfer,nl.fitt.rgn | Class '"nl.fitt.rgn"' |
| parInfer-method | Class '"nl.fitt"' |
| parInfer-method | Class '"nl.fitt.gn"' |
| parInfer-method | Class '"nl.fitt.rgn"' |
| parInfer-method | Class '"nl.fitt.rob"' |
| parInfer.WM | WM-estimate Inference |
| pInf | Parameter Inference for classic nonlinear regression. |
| plot-method | Class '"nl.fitt"' |
| plot-method | Class '"nl.fitt.rob"' |
| plot-method | Class '"nl.robmeas"' |
| plotinitial | Initial Values plot. |
| plotlms | Class '"nl.fitt.rob"' |
| predict-method | Class '"nl.fitt"' |
| predictionI | Class '"nl.fitt"' |
| predictionI-method | Class '"nl.fitt"' |
| predictionI-method | Class '"nl.fitt.gn"' |
| predictionI-method | Class '"nl.fitt.rgn"' |
| predictionI-method | Class '"nl.fitt.rob"' |
| prodAV | Compute product of Array into a Vector. |
| prodVA | Product of three dimentional array in vector. |
| prodVAV | Compute product of Array into a Vector. |
| psi.hampel | hampel redescending function |
| recalc | Class '"nl.fitt"' |
| recalc-method | Class '"nl.fitt"' |
| recalc-method | Class '"nl.fitt.gn"' |
| recalc-method | Class '"nl.fitt.rob"' |
| residuals-method | Class '"nl.fitt"' |
| residuals-method | Class '"nl.fitt.gn"' |
| residuals-method | Class '"nl.fitt.rgn"' |
| rho.hampel | hampel redescending function |
| robloss | Robut loss function. |
| robloss.gn | Generalized Robut loss function. |
| rzvalues | Robust sample variance |
| selfStart-method | Class '"nl.form"' |
| smptry | NM optimization |
| smptry2 | Nonlinear MM-estimate, Nelder-Mead. |
| sqrtvat | Compute square root of vairiance attribute. |
| tadr.ir | Iran Birth Rate. |
| trade.ir | Iran Trade Data. |
| transform | Transform by R matrix. |
| transforminv | Transform nonlinear regression model |
| transformNR | Transform nonlinear regression model |
| transfquad | Variance to standard deviation transform. |
| transfquadvec | Variance to standard deviation transform. |
| Tumor | Tumor metastasis data. |
| var1 | Compute Variance. |
| vectororMatrix | "OR" Class |
| vectororMatrix-class | Class '"or classes"' |
| vectororNULL | "OR" Class |
| vectororNULL-class | Class '"or classes"' |
| Weights | Chicken growth data. |
| zoom | WF optimization |
| zoom2 | Nonlinear MM-estimate using wolf conditions. |
| zvalues | Sample Variance |
| $-method | Class '"Fault"' |
| $-method | Class '"fittmethod"' |
| $-method | Class '"nl.fitt"' |
| $-method | Class '"nl.form"' |
| $-method | Class '"nl.robmeas"' |
| $<--method | Class '"nl.form"' |
| %3d*m% | Product array to matrix |
| %c% | cross product binary operator. |
| %m3d% | Matrix 3 dimentional product. |
| [<--method | Class '"nl.fitt"' |
| [<--method | Class '"nl.form"' |