Languages
- 3741
- Recipe: REGression Confidence Intervals for PErcentiles
- Determines one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the presence of between-batch variability. By Mark Vangel.
- 3742
- RedFit
- Fortran 90 code by Michael Schulz and Manfred Mudelsee to estimate red-noise spectra directly from unevenly spaced time series, without requiring interpolation.
- 3743
- Richard Chandler's software
- Fortran 77 code for random number generation (uniform, exponential, normal, binomial, poisson, geometric, gamma, beta, negative binomial and Weibull), and GLIMCLIM (Generalised Linear Modelling of daily climate sequences).
- 3745
- SPECTRUM
- Analogue data is collected and digitized with an A/D converter. Having then a collection of digitized time series which reside in the computer, this program calculate amplitude density, autospectral (power) density and cross-spectral density functions from these input time series.
- 3746
- STSPAC
- Fortran 77 code for statistics by Charlie Reeve, covering probability distributions, random number generation, least-squares calculations, and other topics.
- 3747
- Smoothing Splines
- RKPACK and RKPACK-II are collections of RATFOR (rational FORTRAN) routines by Chong Gu for Gaussian regression using smoothing splines, penalized likelihood density and hazard estimation.
- 3748
- Software for Stochastic Simulation Input Modeling
- Fortran 77 code and Windows executables for fitting Johnson distributions, Poisson processes, and other topics. By James R. Wilson.
- 3749
- Software for the Analysis of Binary Recurrent Events (SABRE)
- Fortran 77 code for the statistical analysis of multi-process random effect response data. These responses can take the form of binary, ordinal, count and linear recurrent events.
- 3750
- Source Code for the Tight T Program
- Free program to determine appropriate sample sizes, allocate specimens, and analyze results in the case in which a response predictor is used to sort the specimens prior to treatment. Includes downloads for Solaris and DOS.
- 3752
- StatCodes
- Metasite with links to source codes in Fortran and C implementing statistical methods which are freely available on the Internet. The codes are chosen for their potential utility for research in astronomy and other physical sciences.
- 3753
- Statistical Analysis of Climate Time Series
- Codes by Manfred Mudelsee. PearsonT estimates Pearson’s correlation coefficient from serially dependent time series. Rampfit estimates ramp function regressions. TAUEST estimates persistence in unevenly spaced weather/climate time series. XTREND estimates trends in the occurrence rate of extreme weather and climate events.
- 3754
- Statistical programs
- Code for "Invariant Small Sample Confidence Intervals For The Difference Of Two Success Probabilities" and "Bootstrap Prediction and Confidence Bands: a Superior Statistical Method for Analysis of Gait Data", by Thomas Santner.
- 3755
- AUTO_DERIV
- Tool for automatic differentiation of Fortran code. Fortran source is available for download for non-commercial applications.
- 3756
- GRAD
- Given a function coded in Fortran, GRAD produces Fortran code to compute the derivatives with respect to specified variables (i.e. the GRADient). The MS DOS binaries can be downloaded freely.
- 3757
- Tapenade
- With focus on Parallelization and Differentiation of scientific software, Tapenade is an online Automatic Differentiation Engine for Fortran programs developed by the TROPICS team at INRIA, France. Along with extensive documentation, description and references, the tool can be downloaded or used online for non-commercial applications.
- 3758
- TaylUR
- An arbitrary-order auto-differentiation module for Fortran 95. It overloads operators and Fortran intrinsics to act correctly on an object of defined type taylor, which encodes a function along with its first few derivatives with respect to several variables (excluding mixed derivatives). Site has links to descriptions and publications, but no application downloads.