| R-acepack | 1.2.R1-5 | R-package: ACE and AVAS |
| R-acepack | 1.2.R1-5 | R-package: ACE and AVAS |
| R-acepack | 1.2.R1-5 | R-package: ACE and AVAS |
| R-acepack | 1.2.R1-5 | R-package: ACE and AVAS |
| R-akima | 0.2.R5-2 | R-package: interpolation of irregularly spaced data |
| R-akima | 0.2.R5-2 | R-package: interpolation of irregularly spaced data |
| R-akima | 0.2.R5-2 | R-package: interpolation of irregularly spaced data |
| R-akima | 0.2.R5-2 | R-package: interpolation of irregularly spaced data |
| R-ash | 1.0.R3-2 | R-package: David Scott\'s ASH routines |
| R-ash | 1.0.R3-2 | R-package: David Scott\'s ASH routines |
| R-ash | 1.0.R3-2 | R-package: David Scott\'s ASH routines |
| R-ash | 1.0.R3-2 | R-package: David Scott\'s ASH routines |
| R-bindata | 0.9.R5-5 | R-package: Generation of Artificial Binary Data |
| R-bindata | 0.9.R5-5 | R-package: Generation of Artificial Binary Data |
| R-bindata | 0.9.R5-5 | R-package: Generation of Artificial Binary Data |
| R-bindata | 0.9.R5-5 | R-package: Generation of Artificial Binary Data |
| R-boot | 1.1.R5-2 | R-package: Bootstrap functions for R. |
| R-boot | 1.1.R5-2 | R-package: Bootstrap functions for R. |
| R-boot | 1.1.R5-2 | R-package: Bootstrap functions for R. |
| R-boot | 1.1.R5-2 | R-package: Bootstrap functions for R. |
| R-bootstrap | 1.0.R5-5 | R-package: Functions for the Book \"An Introduction to the B |
| R-bootstrap | 1.0.R5-5 | R-package: Functions for the Book \"An Introduction to the B |
| R-bootstrap | 1.0.R5-5 | R-package: Functions for the Book \"An Introduction to the B |
| R-bootstrap | 1.0.R5-5 | R-package: Functions for the Book \"An Introduction to the B |
| R-cclust | 0.6.R5-2 | R-package: Convex clustering methods |
| R-cclust | 0.6.R5-2 | R-package: Convex clustering methods |
| R-cclust | 0.6.R5-2 | R-package: Convex clustering methods |
| R-cclust | 0.6.R5-2 | R-package: Convex clustering methods |
| R-chron | 2.2.R2-4 | R-package: Chronological Objects which Can Handle Dates and |
| R-chron | 2.2.R2-4 | R-package: Chronological Objects which Can Handle Dates and |
| R-chron | 2.2.R2-4 | R-package: Chronological Objects which Can Handle Dates and |
| R-chron | 2.2.R2-4 | R-package: Chronological Objects which Can Handle Dates and |
| R-cluster | 1.2.R3-2 | R-package: Functions for clustering |
| R-cluster | 1.2.R3-2 | R-package: Functions for clustering |
| R-cluster | 1.2.R3-2 | R-package: Functions for clustering |
| R-cluster | 1.2.R3-2 | R-package: Functions for clustering |
| R-coda | 0.5.R3-2 | R-package: Markov Chain Monte Carlo simulations. |
| R-coda | 0.5.R3-2 | R-package: Markov Chain Monte Carlo simulations. |
| R-coda | 0.5.R3-2 | R-package: Markov Chain Monte Carlo simulations. |
| R-coda | 0.5.R3-2 | R-package: Markov Chain Monte Carlo simulations. |
| R-ctest | 0.9.R21-4 | Classical tests for R |
| R-ctest | 0.9.R21-4 | Classical tests for R |
| R-ctest | 0.9.R21-4 | Classical tests for R |
| R-ctest | 0.9.R21-4 | Classical tests for R |
| R-Devore5 | 0.3.R2-2 | R-package: Data sets and sample analyses |
| R-Devore5 | 0.3.R2-2 | R-package: Data sets and sample analyses |
| R-Devore5 | 0.3.R2-2 | R-package: Data sets and sample analyses |
| R-Devore5 | 0.3.R2-2 | R-package: Data sets and sample analyses |
| R-e1071 | 0.9.R2-5 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 0.9.R2-5 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 0.9.R2-5 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 0.9.R2-5 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-funfits | 2.0.R3-6 | R-package: fitting curves and surfaces |
| R-funfits | 2.0.R3-6 | R-package: fitting curves and surfaces |
| R-funfits | 2.0.R3-6 | R-package: fitting curves and surfaces |
| R-funfits | 2.0.R3-6 | R-package: fitting curves and surfaces |
| R-gee | 4.13.R3-2 | Generalized Estimating Equation solver for R |
| R-gee | 4.13.R3-2 | Generalized Estimating Equation solver for R |
| R-gee | 4.13.R3-2 | Generalized Estimating Equation solver for R |
| R-gee | 4.13.R3-2 | Generalized Estimating Equation solver for R |
| R-gnlm | 0.5-5 | R-package: Generalized nonlinear regression models |
| R-gnlm | 0.5-5 | R-package: Generalized nonlinear regression models |
| R-gnlm | 0.5-5 | R-package: Generalized nonlinear regression models |
| R-gnlm | 0.5-5 | R-package: Generalized nonlinear regression models |
| R-growth | 0.5-5 | R-package: Normal theory repeated measurements models |
| R-growth | 0.5-5 | R-package: Normal theory repeated measurements models |
| R-growth | 0.5-5 | R-package: Normal theory repeated measurements models |
| R-growth | 0.5-5 | R-package: Normal theory repeated measurements models |
| R-gss | 0.4.R1-3 | R-package: for structural multivariate function estimation |
| R-gss | 0.4.R1-3 | R-package: for structural multivariate function estimation |
| R-gss | 0.4.R1-3 | R-package: for structural multivariate function estimation |
| R-gss | 0.4.R1-3 | R-package: for structural multivariate function estimation |
| R-KernSmooth | 2.22.R3-6 | R-package: Kernel Smoothing |
| R-KernSmooth | 2.22.R3-6 | R-package: Kernel Smoothing |
| R-KernSmooth | 2.22.R3-6 | R-package: Kernel Smoothing |
| R-KernSmooth | 2.22.R3-6 | R-package: Kernel Smoothing |
| R-leaps | 2.0-3 | R-package: Regression subset selection including exhaustive |
| R-leaps | 2.0-3 | R-package: Regression subset selection including exhaustive |
| R-leaps | 2.0-3 | R-package: Regression subset selection including exhaustive |
| R-leaps | 2.0-3 | R-package: Regression subset selection including exhaustive |
| R-lmtest | 0.1.R8-2 | R package: Testing linear models |
| R-lmtest | 0.1.R8-2 | R package: Testing linear models |
| R-lmtest | 0.1.R8-2 | R package: Testing linear models |
| R-lmtest | 0.1.R8-2 | R package: Testing linear models |
| R-locfit | 1.0.R0-2 | Local Regression, Likelihood and Density Estimtion for R |
| R-locfit | 1.0.R0-2 | Local Regression, Likelihood and Density Estimtion for R |
| R-locfit | 1.0.R0-2 | Local Regression, Likelihood and Density Estimtion for R |
| R-locfit | 1.0.R0-2 | Local Regression, Likelihood and Density Estimtion for R |
| R-logspline | 1.0.R2-8 | Logspline density estimation for R |
| R-logspline | 1.0.R2-8 | Logspline density estimation for R |
| R-logspline | 1.0.R2-8 | Logspline density estimation for R |
| R-logspline | 1.0.R2-8 | Logspline density estimation for R |
| R-mda | 0.2.R3-3 | R-package: Mixture and flexible discriminant analysis |
| R-mda | 0.2.R3-3 | R-package: Mixture and flexible discriminant analysis |
| R-mda | 0.2.R3-3 | R-package: Mixture and flexible discriminant analysis |
| R-mda | 0.2.R3-3 | R-package: Mixture and flexible discriminant analysis |
| R-mlbench | 0.4.R1-4 | Machine Learning Benchmark Problems for R |
| R-mlbench | 0.4.R1-4 | Machine Learning Benchmark Problems for R |
| R-mlbench | 0.4.R1-4 | Machine Learning Benchmark Problems for R |
| R-mlbench | 0.4.R1-4 | Machine Learning Benchmark Problems for R |
| R-multilm | 0.1.R4-2 | R-package: A basic method for fitting and testing multivaria |
| R-multilm | 0.1.R4-2 | R-package: A basic method for fitting and testing multivaria |
| R-multilm | 0.1.R4-2 | R-package: A basic method for fitting and testing multivaria |
| R-multilm | 0.1.R4-2 | R-package: A basic method for fitting and testing multivaria |
| R-multiv | 1.0.R3-5 | R-package: Multivariate Data Analysis Routines for R |
| R-multiv | 1.0.R3-5 | R-package: Multivariate Data Analysis Routines for R |
| R-multiv | 1.0.R3-5 | R-package: Multivariate Data Analysis Routines for R |
| R-multiv | 1.0.R3-5 | R-package: Multivariate Data Analysis Routines for R |
| R-NISTnls | 0.9.R3-3 | R-package: Datasets for testing nonlinear regression routine |
| R-NISTnls | 0.9.R3-3 | R-package: Datasets for testing nonlinear regression routine |
| R-NISTnls | 0.9.R3-3 | R-package: Datasets for testing nonlinear regression routine |
| R-NISTnls | 0.9.R3-3 | R-package: Datasets for testing nonlinear regression routine |
| R-nlme | 3.1.R4-2 | Fit and compare Gaussian linear and nonlinear mixed-effects |
| R-nlme | 3.1.R4-2 | Fit and compare Gaussian linear and nonlinear mixed-effects |
| R-nlme | 3.1.R4-2 | Fit and compare Gaussian linear and nonlinear mixed-effects |
| R-nlme | 3.1.R4-2 | Fit and compare Gaussian linear and nonlinear mixed-effects |
| R-oz | 1.0.R3-8 | R functions to plot the Australian coastline and states |
| R-oz | 1.0.R3-8 | R functions to plot the Australian coastline and states |
| R-oz | 1.0.R3-8 | R functions to plot the Australian coastline and states |
| R-oz | 1.0.R3-8 | R functions to plot the Australian coastline and states |
| R-pls | 0.1.R1-6 | R-package: univariate Partial Least Squares Regression. |
| R-pls | 0.1.R1-6 | R-package: univariate Partial Least Squares Regression. |
| R-pls | 0.1.R1-6 | R-package: univariate Partial Least Squares Regression. |
| R-pls | 0.1.R1-6 | R-package: univariate Partial Least Squares Regression. |
| R-polymars | 1.0.R2-8 | (polychotomous) regression based on Multivariate Adaptive Re |
| R-polymars | 1.0.R2-8 | (polychotomous) regression based on Multivariate Adaptive Re |
| R-polymars | 1.0.R2-8 | (polychotomous) regression based on Multivariate Adaptive Re |
| R-polymars | 1.0.R2-8 | (polychotomous) regression based on Multivariate Adaptive Re |
| R-polynom | 1.1.R3-4 | Univariate polynomial class for R |
| R-polynom | 1.1.R3-4 | Univariate polynomial class for R |
| R-polynom | 1.1.R3-4 | Univariate polynomial class for R |
| R-polynom | 1.1.R3-4 | Univariate polynomial class for R |
| R-princurve | 1.0.R8-5 | R-package: fits a principal curve to a data matrix |
| R-princurve | 1.0.R8-5 | R-package: fits a principal curve to a data matrix |
| R-princurve | 1.0.R8-5 | R-package: fits a principal curve to a data matrix |
| R-princurve | 1.0.R8-5 | R-package: fits a principal curve to a data matrix |
| R-pspline | 1.0.R2-8 | Penalized smoothing splines for R |
| R-pspline | 1.0.R2-8 | Penalized smoothing splines for R |
| R-pspline | 1.0.R2-8 | Penalized smoothing splines for R |
| R-pspline | 1.0.R2-8 | Penalized smoothing splines for R |
| R-quadprog | 1.4.R1-5 | R functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.4.R1-5 | R functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.4.R1-5 | R functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.4.R1-5 | R functions to solve Quadratic Programming Problems. |
| R-quantreg | 3.01.R1-2 | Quantile regression for R. |
| R-quantreg | 3.01.R1-2 | Quantile regression for R. |
| R-quantreg | 3.01.R1-2 | Quantile regression for R. |
| R-quantreg | 3.01.R1-2 | Quantile regression for R. |
| R-rational | 1.0.R5-8 | R functions to find numerical rational approximations |
| R-rational | 1.0.R5-8 | R functions to find numerical rational approximations |
| R-rational | 1.0.R5-8 | R functions to find numerical rational approximations |
| R-rational | 1.0.R5-8 | R functions to find numerical rational approximations |
| R-repeated | 0.5-5 | R-package: Models for non-normal repeated measurements |
| R-repeated | 0.5-5 | R-package: Models for non-normal repeated measurements |
| R-repeated | 0.5-5 | R-package: Models for non-normal repeated measurements |
| R-repeated | 0.5-5 | R-package: Models for non-normal repeated measurements |
| R-rmeta | 2.0-2 | R-package: Functions for simple fixed and random effects |
| R-rmeta | 2.0-2 | R-package: Functions for simple fixed and random effects |
| R-rmeta | 2.0-2 | R-package: Functions for simple fixed and random effects |
| R-rmeta | 2.0-2 | R-package: Functions for simple fixed and random effects |
| R-RmSQL | 0.2.R1-3 | R-package: An R <-> mSQL database interface |
| R-RmSQL | 0.2.R1-3 | R-package: An R <-> mSQL database interface |
| R-RmSQL | 0.2.R1-3 | R-package: An R <-> mSQL database interface |
| R-RmSQL | 0.2.R1-3 | R-package: An R <-> mSQL database interface |
| R-rmutil | 0.5-5 | R-package: Tools for repeated measurements |
| R-rmutil | 0.5-5 | R-package: Tools for repeated measurements |
| R-rmutil | 0.5-5 | R-package: Tools for repeated measurements |
| R-rmutil | 0.5-5 | R-package: Tools for repeated measurements |
| R-Rnotes | 1.1.R1-4 | R-package: The datasets for the exercises in Rnotes. |
| R-Rnotes | 1.1.R1-4 | R-package: The datasets for the exercises in Rnotes. |
| R-Rnotes | 1.1.R1-4 | R-package: The datasets for the exercises in Rnotes. |
| R-Rnotes | 1.1.R1-4 | R-package: The datasets for the exercises in Rnotes. |
| R-rpart | 1.1.R2-2 | R functions for recursive partitioning |
| R-rpart | 1.1.R2-2 | R functions for recursive partitioning |
| R-rpart | 1.1.R2-2 | R functions for recursive partitioning |
| R-rpart | 1.1.R2-2 | R functions for recursive partitioning |
| R-sgeostat | 1.0.R9-3 | R-package: An Object-oriented Framework for Geostatistical M |
| R-sgeostat | 1.0.R9-3 | R-package: An Object-oriented Framework for Geostatistical M |
| R-sgeostat | 1.0.R9-3 | R-package: An Object-oriented Framework for Geostatistical M |
| R-sgeostat | 1.0.R9-3 | R-package: An Object-oriented Framework for Geostatistical M |
| R-sm | 1.0.R3-4 | kernel smoothing methods for R |
| R-sm | 1.0.R3-4 | kernel smoothing methods for R |
| R-sm | 1.0.R3-4 | kernel smoothing methods for R |
| R-sm | 1.0.R3-4 | kernel smoothing methods for R |
| R-stable | 0.2.R1-8 | Functions related to the stable distribution for R |
| R-stable | 0.2.R1-8 | Functions related to the stable distribution for R |
| R-stable | 0.2.R1-8 | Functions related to the stable distribution for R |
| R-stable | 0.2.R1-8 | Functions related to the stable distribution for R |
| R-stataread | 2.4-2 | R-package: read and write Stata v5 and v6 .dta files |
| R-stataread | 2.4-2 | R-package: read and write Stata v5 and v6 .dta files |
| R-stataread | 2.4-2 | R-package: read and write Stata v5 and v6 .dta files |
| R-stataread | 2.4-2 | R-package: read and write Stata v5 and v6 .dta files |
| R-tree | 1.0.R2-2 | Classification and regression trees for R. |
| R-tree | 1.0.R2-2 | Classification and regression trees for R. |
| R-tree | 1.0.R2-2 | Classification and regression trees for R. |
| R-tree | 1.0.R2-2 | Classification and regression trees for R. |
| R-tripack | 1.1.R1-2 | Triangulation of irregularly spaced data for R |
| R-tripack | 1.1.R1-2 | Triangulation of irregularly spaced data for R |
| R-tripack | 1.1.R1-2 | Triangulation of irregularly spaced data for R |
| R-tripack | 1.1.R1-2 | Triangulation of irregularly spaced data for R |
| R-VR | 6.1.R8-4 | R port of \"Modern Applied Statistics with S-PLUS\" librarie |
| R-VR | 6.1.R8-4 | R port of \"Modern Applied Statistics with S-PLUS\" librarie |
| R-VR | 6.1.R8-4 | R port of \"Modern Applied Statistics with S-PLUS\" librarie |
| R-VR | 6.1.R8-4 | R port of \"Modern Applied Statistics with S-PLUS\" librarie |
| R-wavethresh | 2.2.R4-2 | R-package: Software to perform 1-d and 2-d wavelet statistic |
| R-wavethresh | 2.2.R4-2 | R-package: Software to perform 1-d and 2-d wavelet statistic |
| R-wavethresh | 2.2.R4-2 | R-package: Software to perform 1-d and 2-d wavelet statistic |
| R-wavethresh | 2.2.R4-2 | R-package: Software to perform 1-d and 2-d wavelet statistic |
