PAST
features:
# A spreadsheet-type data entry form
# Graph, scatter, 3D scatter, histogram, box, ternary, survivorship and normal probability plots
# Curve fitting: Linear (Standard and Reduced Major Axis) with bootstrapping, lin-log (exponential), log-log (allometric), logistic, von Bertalanffy, sum-of-sines, B-splines.
# F, t, permutation t, Chi-squared w. permutation test, Kolmogorov-Smirnov, Mann-Whitney, Shapiro-Wilk, Spearman's Rho and Kendall's Tau tests, correlation, covariance, contingency tables, one-way ANOVA, Kruskal-Wallis test.
# Diversity indices with bootstrapping and permutation, rarefaction. Dice, Jaccard, Simpson and Raup-Crick similarity indices, Renyi diversity profiles.
# Abundance model fitting: Geometric, log-series and log-normal.
# Multivariate statistics: Principal Components (with Minimal Spanning Tree), Principal Coordinates (14 distance measures), Non-metric Multidimensional Scaling (14 distance measures), Detrended Correspondence Analysis, Cluster analysis (three algorithms, 13 distance measures, two-way clustering), k-means clustering, seriation, discriminant analysis, one-way MANOVA, one-way ANOSIM, one-way NPMANOVA, Hotelling's T2, paired Hotelling's T2, Mahalanobis-distance permutation, Box's M, Canonical Variates Analysis, multivariate allometry with bootstrapping.
# Time series analysis: Spectral analysis, autocorrelation, cross-correlation, wavelet transform, Walsh transform, runs test.
# Geometrical analysis: Directional statistics, rose plots, point distribution statistics, Fourier shape analysis, elliptic Fourier shape analysis, eigenshapes, landmark analysis with Procrustes fitting (2D and 3D), thin-plate spline transformation grids with expansions and principal strains, partial warps and scores, relative warps and scores, centroid size from landmarks.
# Parsimony analysis (cladistics): Exhaustive, branch-and-bound and heuristic algorithms, Wagner, Fitch and Dollo characters. Bootstrap, strict and majority rule consensus trees. Consistency and retention indices. Three stratigraphic congruency indices with permutation tests.
# Biostratigraphy with the methods of Unitary Associations, Ranking-Scaling (RASC) and Constrained Optimization (CONOP). Confidence intervals on stratigraphic ranges.
