modelbased
modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions - Published in JOSS (2025)
remBoot
remBoot: An R package for Random Encounter Modelling - Published in JOSS (2017)
@stdlib/stats-base-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
stats-strided-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
stats-strided-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
stats-strided-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
stats-strided-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
stats-strided-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.