tidynamics
tidynamics: A tiny package to compute the dynamics of stochastic and molecular simulations - Published in JOSS (2018)
pyerrors
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
savannacorridors
Analysis of palaeoecological records across South-East Asia to determine the evidence for regime shifts between open savannas and dense tropical forests occurred since the Last Glacial Maximum
@stdlib/stats-pcorrtest
Compute a Pearson product-moment correlation test between paired samples.
@stdlib/stats-incr-mpcorrdist
Compute a moving sample Pearson product-moment correlation distance incrementally.
@stdlib/stats-incr-mapcorr
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-incr-covmat
Compute an unbiased sample covariance matrix incrementally.
@stdlib/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrdist
Compute a sample Pearson product-moment correlation distance.
@stdlib/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-incr-mpcorr
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-mpcorr2
Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.
correlogram
Create beautiful tiles of scatterplots between variables in MATLAB
stats-base-ndarray-dcovarmtk
Compute the covariance of two one-dimensional double-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm.
stats-strided-dcovmatmtk
Compute the covariance matrix for an `M` by `N` double-precision floating-point matrix `A` and assigns the results to a matrix `B` when provided known means and using a one-pass textbook algorithm.