| addc | Adds a column vector to a transformed design matrix and... |
| airef0 | Asymptotic relative efficiency of a general M-estimate for a... |
| airefq | Asymptotic relative efficiency of a general M-estimate for a... |
| binprd | Binomial probability distribution |
| cerf | Complemented error function (single precision) |
| cerfd | Complemented error function (double precision) |
| cfrcov | Computation of fC.fC.inv(AT A) for a given matrix A and scale... |
| chi | Chi weight function for location and regression |
| chi_1 | Chi weight function for location and regression |
| chisq | Cumulative Chi-square distribution function |
| cia2b2 | Determination of the parameters a2 and b2 of the Huber weight... |
| cibeat | Determination of the parameter d of the Huber weight function |
| cicloc | Determination of the parameter c of the Huber weight function... |
| cifact | Determination of the correction factor for the M-estimate... |
| cimedv | Initial values for the iterative algorithms implemented in... |
| cirock | Initial values for the Rocke estimates of covariance |
| comval | Gives the current values ofthe parameters of the ROBETH... |
| cquant | Inverse of the cumulative Chi2-distribution function |
| cyfalg | Fixed-point algorithm for the computation of an M-estimate of... |
| cygalg | Conjugate gradient algorithm for the computation of an... |
| cynalg | Newton-type algorithm for the computation of an M-estimate of... |
| Dbinom | Diagonal matrix D for the binomial case in discrete GLM |
| dfcomn | Assigns values to the ROBETH parameters included in common... |
| dfrpar | Sets default parameters for regression estimates |
| dfvals | Provide default values for most scalar parameters used by the... |
| dfvget | Provide the current values of the scalar parameters used by... |
| dfvput | Set the current values of the scalar parameters used by the... |
| dotp | Forms the scalar (dot) product of two vectors |
| dotpd | Forms the scalar (dot) product of two vectors (double... |
| dpoiss | Diagonal matrix D for the Poisson case in discrete GLM |
| exch | Exchanges two columns of a symmetric matrix |
| exchd | Exchanges two columns of a symmetric matrix (double... |
| fcum | Cumulative F-distribution function |
| Fn.Exp.f | Parametric estimate of survival cdf |
| fstord | Determination of the j-th order statistic |
| gauss | Cumulative Gaussian distribution function |
| gaussd | Cumulative Gaussian distribution function (double precision) |
| gfedca | Diagonal matrices D_G and E_G |
| gintac | Initial values of theta, A and c_i,...,c_n |
| glmdev | The total deviance of the fitted generalizrd linear model |
| gyastp | Fixed-point algorithm for the A-step |
| gycstp | Newton-type algorithm for the c-step |
| gymain | Main algorithm |
| gytstp | Newton-type algorithm for the theta-step |
| h12 | Constructs and/or applies a single elementary Householder... |
| h12d | Constructs and/or applies a single elementary Householder... |
| hylmse | Resampling algorithm for the computation of the LMS estimate |
| hyltse | Resampling algorithm for the computation of the LTS estimate |
| hysest | Resampling algorithm for the computation of S-estimates |
| hysestw | Resampling algorithm for the computation of weighted... |
| ingama | Incomplete Gamma-integral function |
| kfascv | Backtransformation of the covariance matrix of the... |
| kfedcb | Diagonal hat matrices D_M, E_M, D_S, and E_S |
| kfedcc | Diagonal 'check' matrices D_M, E_M, D_S, and E_S |
| kffacv | Correction factor f_H for the covariance matrix of a... |
| kiascv | Covariance matrix of the coefficient estimates of the form... |
| kiedch | Diagonal matrices D_M, E_M, D_S, E_S when psi is the Huber... |
| kiedcu | Diagonal matrices D_M, E_M, D_S, E_S when psi is a... |
| ktaskv | Covariance matrix of the coefficient estimates of the form... |
| ktaskw | Covariance matrix of the coefficient estimates of the form... |
| lgama | Logarithm at the Gamma-function at the point x |
| libet0 | Computation of Beta0 = Phi_inv(0.75) |
| libeth | Computation of Int Chi(s) dPhi(s) when Chi=Psi.Psi/2 and Psi... |
| libetu | Computation of Int Chi(s) dPhi(s) when Chi is a user-supplied... |
| liclls | Classical estimates of mean and standard deviation |
| liepsh | Computation of Int Psi(s).Psi(s) dPhi(s) and Int Psi'(s)... |
| liepsu | Computation of Int Psi(s).Psi(s) dPhi(s) and Int Psi'(s)... |
| liindh | Inverts the approximate null distribution of the one-sample... |
| liinds | Inverts the approximate null distribution of the sign test... |
| liindw | Inverts the approximate null distribution of the Mann-Whitney... |
| lilars | Median an median absolute deviation |
| littst | t-test for the shift parameter |
| lmdd | Median and median absolute deviation |
| lrfctd | Computation of Li, li and lip |
| lyhalg | M-estimate of location with simultaneous estimation of scale |
| lyhdle | Hodges-Lehman estimate and confidence intervals for the... |
| lymnwt | Nonparametric estimate and confidence intervals for the shift... |
| lytau2 | tau-test for the shift parameter |
| lywalg | W-algorithm for M-estimate of location |
| mchl | Cholesky decomposition of a symmetric matrix |
| mchld | Cholesky decomposition of a symmetric matrix (double... |
| messagena | Print a message when a required argument is missing |
| mff | Multiplies a full matrix by a full matrix |
| mffd | Multiplies a full matrix by a full matrix (double precision) |
| mfragr | Generation and comparison of all regressions on subsets of... |
| mfy | Multiplies a full matrix by a vector |
| mfyd | Multiplies a full matrix by a vector (double precision) |
| mhat | Computes the diagonal elements of the hat matrix |
| minv | Inverts a triangular matrix |
| minvd | Inverts a triangular matrix (double precision) |
| mirtsr | Computation of (robust) t-statistics for t-directed search |
| mly | Multiplies a lower-triangular matrix by a vector |
| mlyd | Multiplies a lower-triangular matrix by a vector (double... |
| msf | Multiplies a symmetric matrix by a full matrix |
| msf1 | Multiplies a symmetric matrix by a full matrix when the... |
| msf1d | Multiplies a symmetric matrix by a full matrix when the... |
| msfd | Multiplies a symmetric matrix by a full matrix (double... |
| mss | Multiplies a symmetric matrix by a symmetric matrix |
| mssd | Multiplies a symmetric matrix by a symmetric matrix (double... |
| mtt1 | Multiplies an upper-triangular matrix by its transpose |
| mtt1d | Multiplies an upper-triangular matrix by its transpose... |
| mtt2 | Multiplies a lower-triangular matrix by its transpose |
| mtt2d | Multiplies a lower-triangular matrix by its transpose (double... |
| mtt3 | Multiplies a triangular matrix by a triangular matrix |
| mtt3d | Multiplies a triangular matrix by a triangular matrix (double... |
| mty | Multiplies an upper-triangular matrix by a vector |
| mtyd | Multiplies an upper-triangular matrix by a vector |
| myhbhe | High breakdown point and high efficiency regression with test... |
| mymvlm | Simultaneous computation of the MVE and LMS estimates |
| nlgm | Logarithm of the Gamma-function at the point n/2 |
| nrm2 | Forms the Euclidean norm of a vector |
| nrm2d | Forms the Euclidean norm of a vector (double precision) |
| permc | Permutes the columns of a matrix by means of transpositions |
| permv | Permutes the elements of a vector |
| poissn | Poisson distribution |
| precd | Algorithmic determination of the smallest double precision... |
| precs | Algorithmic determination of the smallest double precision... |
| probst | Cumulative t-distribution function |
| psi | psi weight function for location and regression |
| psi_1 | psi weight function for location and regression |
| psp | psi' weight function for location and regression |
| psp_1 | psi' weight function for location and regression |
| QD2coef.f | Auxiliary function to find mu and sigma parameter for... |
| QD2funC.f | Auxiliary function to find lambda parameter for extended... |
| Qn.Exp.f | Auxiliary function to compute quantiles of survival cdf |
| quant | Inverse of the standard Gaussian cumulative distribution... |
| Random | Uniform random number generator |
| Regtau.f | Auxiliary function for the computation of QQopt |
| RegtauW.f | Auxiliary function for the computation of QQopt |
| rho | rho weight function for location and regression |
| rho_1 | Rho weight function for location and regression |
| ribet0 | Computation of the constant Beta0 |
| ribeth | Computation of the constant Beta when Chi=Psi.Psi/2 and Psi... |
| ribetu | Computation of the constant Beta when Chi is a user-supplied... |
| riclls | Solution of the least squares problem |
| rilars | Solution of the least absolute residual problem |
| rimtrd | Double precision version of RIMTRF |
| rimtrf | Upper triangularization (QR-decomposition) of the design... |
| rmvc | Removes a column from a transformed design matrix and updates... |
| robeth.package | Interface for the FORTRAN programs developed at the... |
| ruben | Cumulative distribution and density function of a linear... |
| rybifr | Bounded influence regression |
| ryhalg | H-algorithm for M-estimates |
| rynalg | Newton algorithm with adaptive steps for M-estimates |
| rysalg | S-algorithm for M-estimates |
| rysigm | Iterative algorithm for the computation of an M-estimate of... |
| rywalg | W-algorithm for M-estimates |
| scal | Scales a vector by a constant |
| scald | Scales a double precision vector by a constant |
| srt1 | Sorts the components of a vector in ascending order |
| srt2 | Sorts the components of a vector in ascending order and... |
| swap | Interchanges two vectors |
| swapd | Interchanges two vectors (double precision) |
| tauare | Asymptotic relative efficiency of the tau-test |
| tfrn2t | Computes the Rn2-test statistic for a linear hypothesis in... |
| tftaut | Computes the tau-test statistic for a linear hypothesis in... |
| tisrtc | Permutes the columns of the design matrix: Predictors in... |
| to.character | Convert local variable to Fortran character |
| to.double | Convert local variable to Fortran double precision |
| to.integer | Convert local variable to Fortran integer |
| to.single | Convert local variable to Fortran single precision |
| tquant | Inverse of the cumulative t-distribution function |
| ttaskt | Computes the matrix Ktau |
| tteign | Computes the eigenvalues of the matrix Ktau |
| ucv | u weight function for covariances |
| ucv_1 | u weight function for covariances |
| ugl | ub weight function for M-estimates in GLM |
| upcv | u' weight function for covariances |
| upcv_1 | u' weight function for covariances |
| userfd | Dummy u user function (double precision) |
| userfs | Dummy u user function |
| vcv | v weight function for covariances |
| vpcv | v' weight function for covariances |
| wcv | v weight function for covariances |
| wcv_1 | w weight function for covariances |
| wfshat | Schweppe original weight proposal |
| wimedv | Initial value of the matrix A |
| wpcv | w' weight function for covariances |
| wpcv_1 | w' weight function for covariances |
| www | w weight function |
| www_1 | w weight function for covariances |
| wyfalg | Fixed-point algorithm for the computation of the matrix A |
| wyfcol | Modified fixed-point algorithm for collinear data in the... |
| wygalg | Conjugate gradient algorithm for the computation of the... |
| wynalg | Newton-Huber algorithm for the computation of the... |
| xerf | Gaussian density function |
| xerp | Density of the norm of a standard Gaussian vector with p... |
| xsy | Evaluates a quadratic form |
| xsyd | Evaluates a quadratic form (double precision) |
| zemll | Zeng method for censored data |
