Packaged: 2018-07-15 21:15:58 UTC; benjaminblonder

Depends: Rcpp, rgl, methods, R (>= 3.0.2)
Packaged: 2019-12-05 22:39:05 UTC; benjaminblonder

Packaged: 2017-08-06 23:53:31 UTC; benjaminblonder

Packaged: 2017-11-06 19:14:51 UTC; benjaminblonder

Packaged: 2018-05-28 16:44:05 UTC; benjaminblonder

Title: High Dimensional Geometry, Set Operations, Projection, and
Inference Using Kernel Density Estimation, Support Vector
Author: Benjamin Blonder, with contributions from Cecina Babich Morrow, David J. Harris, Stuart Brown, Gregoire Butruille, Alex Laini, and Dan Chen
rgeos, sp, foreach, doParallel, parallel, ggplot2, pbapply,
Suggests: rgl, magick, alphahull, knitr, rmarkdown, gridExtra
Packaged: 2021-11-06 15:50:48 UTC; benjaminblonder

Packaged: 2021-12-21 16:14:40 UTC; benjaminblonder

Packaged: 2022-01-31 23:58:47 UTC; benjaminblonder

compiler, e1071, progress, mvtnorm, data.table, rgeos, sp,
foreach, doParallel, parallel, ggplot2, pbapply,
Packaged: 2022-05-16 20:00:38 UTC; benjaminblonder

Imports: raster, maps, MASS, geometry, ks, hitandrun, pdist,
fastcluster, compiler, e1071, progress, mvtnorm, data.table,
Packaged: 2022-05-28 13:54:45 UTC; benjaminblonder

Packaged: 2022-11-14 17:13:33 UTC; benjaminblonder

Author: Hediger Simon, Loris Michel, Jeffrey Naef
Description: An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2020) <arXiv:1903.06287>.

Author: Till Doehmen [aut, cre], Hannes Muehleisen [ctb]
Description: A Multi-Hypothesis CSV Parser. Stresses your computer not you.
Imports: data.tree, RecordLinkage, readr, tibble
Collate: misc.R encoding.R dialect.R table_area.R row_function.R

Package: hypothesestest
Type: Package
Title: Confidence Intervals and Tests of Statistical Hypotheses
Version: 1.0
Date: 2012-05-14
Author: Chengfeng Liu,Huiqing Liu,Yingyan Liang,Ruibin Feng
Maintainer: Chengfeng Liu <478996606@qq.com>
Description: Compute the confidence interval of the population mean
with one sample or of the difference of population means of two
samples from normal distributions or t-distributions.Compute
the confidence interval of population variance with one sample
or of the difference of population variances of two samples by
chi-square tests.Test for population mean or the differences of
two normal samples under normality with the given null
hypothesis H0,which depends on the user,so that he can know if
he can reject H0 or not at the significance level alpha.Do the
chi-square tests with one or two samples which have multinomial
distributions by using an approximate chi-square distribution
when n is large enough.
License: GPL (>= 2)
Packaged: 2012-07-11 10:25:37 UTC; Administrator
Repository: CRAN
Date/Publication: 2012-07-11 11:35:50