person("Tom", "Palmer", , "remlapmot@hotmail.com", role = c("aut", "cre"),
person("Wes", "Spiller", , "wes.spiller@bristol.ac.uk", role = "aut",
person("Eleanor", "Sanderson", , "eleanor.sanderson@bristol.ac.uk", role = "aut",
Description: Useful functions for one-sample (individual level data)
Mendelian randomization and instrumental variable analyses. The
package includes implementations of; the Sanderson and Windmeijer
the multiplicative structural mean model Hernán and Robins (2006)
substitution and two-stage residual inclusion estimators explained by

Suggests: haven, knitr, lfe, rmarkdown, testthat (>= 3.0.0)

Title: One-Step Maximum Likelihood Estimation
Author: Alexandre Brouste, Darel Noutsa Mieniedou, Christophe Dutang
Contact: Alexandre Brouste, Darel Noutsa Mieniedou, Christophe Dutang
Description: Provide principally an eponymic function that numerically computes the Le Cam one-step estimator which is asymptotically efficient (see e.g. L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator.

Description: Provide principally an eponymic function that numerically computes the Le Cam one-step estimator which is asymptotically efficient (see e.g. L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator for large observation samples.

Package: OneTwoSamples
Type: Package
Title: Deal with one and two (normal) samples
Version: 1.0-1
Date: 2013-04-27
Author: Ying-Ying Zhang (Robert)
Maintainer: Ying-Ying Zhang (Robert) <robertzhangyying@qq.com>
Description: In this package, we introduce an R function
one_two_sample() which can deal with one and two (normal)
samples. For one normal sample x, the function reports
descriptive statistics, plot, interval estimation and test of
hypothesis of x. For two normal samples x and y, the function
reports descriptive statistics, plot, interval estimation and
test of hypothesis of x and y, respectively. It also reports
interval estimation and test of hypothesis of mu1-mu2 (the
difference of the means of x and y) and sigma1^2 / sigma2^2
(the ratio of the variances of x and y), tests whether x and y
are from the same population, finds the correlation coefficient
of x and y if x and y have the same length.
License: GPL (>= 2)
Repository: CRAN
Packaged: 2013-04-27 15:20:45 UTC; Administrator
NeedsCompilation: no
Date/Publication: 2013-04-28 07:58:32