A fast, unbiased and exact allelic exact test
This is the implementation in R+C of a new association
test described in "A fast, unbiased and exact allelic exact
test for case-control association studies" (Submitted).  It
appears that in most cases the classical chi-square test used
for testing for allelic association on genotype data is biased.
Our test is unbiased, exact but fast throught careful
optimization.

person("Zhiqiang", "Wang", email = "zhiqiang.wang@menzies.edu.au", role = c("aut", "cre"))
Estimates and plots effect estimates from models with all possible
combinations of a list of variables. It can be used for assessing treatment
effects in clinical trials or risk factors in bio-medical and epidemiological
research. Like Stata command 'confall' (Wang Z (2007) <doi:10.1177/1536867X0700700203> ),
'allestimates' calculates and stores all effect estimates, and plots them against p values or
Akaike information criterion (AIC) values. It currently has functions for linear
regression: all_lm(), logistic and Poisson regression: all_glm() and all_speedglm(),
and Cox proportional hazards regression: all_cox().
broom, ggplot2, MASS, speedglm, survival, tibble, tidyr,
utils, stringr, dplyr

broom, ggplot2, speedglm, survival, tidyr, utils, stringr,
dplyr

broom, tibble, ggplot2, speedglm, survival, tidyr, utils,
stringr, dplyr

person("Zhiqiang", "Wang", email = "menzies.uq@gmail.com", role = c("aut", "cre"))
Estimates and plots effect estimates from models with all possible
combinations of a list of variables. It can be used for assessing treatment
effects in clinical trials or risk factors in bio-medical and epidemiological
research. Like Stata command 'confall' (Wang Z. Stata Journal 2007; 7, Number 2, pp. 183–196),
'allestimates' calculates and stores all effect estimates, and plots them against p values or
Akaike information criterion (AIC) values. It currently has functions for linear
regression: all_lm(), logistic and Poisson regression: all_glm() and all_speedglm(),
and Cox proportional hazards regression: all_cox().