Packaged: 2020-04-29 11:13:09 UTC; weiliangqiu

Packaged: 2020-11-01 18:51:12 UTC; weiliangqiu

Imports: stats, nlme, GLMMadaptive, glmmTMB, parallel

Title: Power and Sample Size Calculation for Bulk Tissue and
Description: Power and sample size calculation for bulk tissue and single-cell eQTL analysis
based on ANOVA, simple linear regression, or linear mixed effects model. It can also calculate power/sample size
Please see the reference: Dong X, Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021) <doi:10.1093/bioinformatics/btab385>.

Imports: stats, nlme, GLMMadaptive, parallel

Title: Power Calculations for Interactions for GWAS
Description: Routines for Power Calculations for Interactions for GWAS

Title: Power Calculations for GxE and GxG Interactions for GWAS
Author: Charles Kooperberg <clk@fhcrc.org> and Li Hsu <lih@fhcrc.org>
Description: Analytical power calculations for GxE and GxG interactions for case-control studies of candidate genes and genome-wide association studies (GWAS). This includes power calculation for four two-step screening and testing procedures.  It can also calculate power for GxE and GxG without any screening.

Author: Charles Kooperberg <clk@fredhutch.org> and Li Hsu <lih@fredhutch.org>

Title: Efficient Simulation of HDX-MS Data and Tools for the
Description: Facilitates simulating and analyzing data coming from HDX-MS
experiments along with the possibility of comparing the power of
the tests verifying differences in the levels of deuterium uptake.
The simulation of mass spectra is a fast version of
Imports: checkmate, data.table, expm, ggplot2, glmnet, lme4, lmerTest,
methods, nlme, plyr, Rcpp (>= 1.0.3), signal,
Suggests: testthat, spelling, knitr, rmarkdown, covr

Title: Generalized Power Analysis for LATE
person("Kirk", "Bansak", , "kbansak@ucsd.edu", c("aut")),
person("Eddie", "Yang", , "z5yang@ucsd.edu", c("aut", "cre"))
Description: An implementation of the generalized power analysis for the local average treatment effect (LATE), proposed by Bansak (2020) <doi:10.1214/19-STS732>. Power analysis is in the context of estimating the LATE (also known as the complier average causal effect, or CACE), with calculations based on a test of the null hypothesis that the LATE equals 0 with a two-sided alternative. The method uses standardized effect sizes to place a conservative bound on the power under minimal assumptions. Package allows users to recover power, sample size requirements, or minimum detectable effect sizes. Package also allows users to work with absolute effects rather than effect sizes, to specify an additional assumption to narrow the bounds, and to incorporate covariate adjustment.