Title: Gene-Based Association Analysis for Complex Traits
Description: Gene based association test between a group of SNPs and traits
including familial (both continuous and binary) traits, multivariate
continuous (both independent and familial) traits and longitudinal
continuous traits. Part of methods were previously published in Maity et al
Depends: CompQuadForm, MASS, nlme, kinship2

continuous (both independent and familial) traits, longitudinal continuous
traits and survival traits. Part of methods were previously published in
Collate: 'saddle.R' 'pchisqsum2.R' 'CoxKM.R' 'Data_CoxKM_data.R'

Title: Data sets from Klein and Moeschberger (1997), Survival Analysis
Author: Original by Klein and Moeschberger
modifications by Jun Yan <jyan@stat.wisc.edu>
Description: Data sets and functions for Klein and Moeschberger (1997),
"Survival Analysis, Techniques for Censored and Truncated Data", Springer.

Author: Original by Klein and Moeschberger,
modifications by Jun Yan <jyan@stat.uiowa.edu>

Author: Original by Klein and Moeschberger, modifications by Jun Yan
"Survival Analysis, Techniques for Censored and Truncated

Description: Produce Kaplan–Meier plots in the style recommended following the KMunicate
study by Morris et al. (2019) <doi:10.1136/bmjopen-2019-030215>. The KMunicate style
consists of Kaplan-Meier curves with confidence intervals to quantify uncertainty and
an extended risk table (per treatment arm) depicting the number of study subjects at
risk, events, and censored observations over time. The resulting plots are built using
'ggplot2' and can be further customised to a certain extent, including themes, fonts, and
Imports: checkmate, cowplot, ggplot2, pammtools, tidyr
Suggests: broom, covr, devtools, extrafont, knitr, rmarkdown, simsurv,
Packaged: 2020-07-29 13:35:27 UTC; ellessenne
Author: Alessandro Gasparini [aut, cre, cph]

Packaged: 2020-09-02 20:18:25 UTC; ellessenne

Packaged: 2020-11-16 08:46:44 UTC; ellessenne

Description: Produce Kaplan–Meier plots in the style recommended
following the KMunicate study by Morris et al. (2019)
<doi:10.1136/bmjopen-2019-030215>. The KMunicate style consists of
Kaplan-Meier curves with confidence intervals to quantify uncertainty
and an extended risk table (per treatment arm) depicting the number of
study subjects at risk, events, and censored observations over time.
The resulting plots are built using 'ggplot2' and can be further
customised to a certain extent, including themes, fonts, and colour
Suggests: broom, covr, devtools, knitr, rmarkdown, simsurv, testthat,
Packaged: 2021-04-22 09:39:52 UTC; ellessenne