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TSDT (version 1.0.7)

Treatment-Specific Subgroup Detection Tool

Description

Implements a method for identifying subgroups with superior response relative to the overall sample.

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Version

Install

install.packages('TSDT')

Monthly Downloads

154

Version

1.0.7

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

1

Forks

2

Maintainer

Brian Denton

Last Published

April 6th, 2022

Functions in TSDT (1.0.7)

binary_transform

binary transform
TSDT_Sample-class

TSDT_Sample
TSDT

Treatment-Specific Subgroup Detection Tool
TSDT_CutpointDistribution-class

TSDT_CutpointDistribution
permutation

permutation
get_suggested_subgroup

get_suggested_subgroup
quantile_response

quantile_response
get_trt

get_trt
bootstrap

bootstrap
CTree-class

CTree
MOB-class

MOB
folds

folds
cutpoints

Get distribution of cutpoints for subgroups.
Subsample-class

Subsample
TSDT-class

TSDT
BootstrapStatistic-class

BootstrapStatistic
Bootstrap-class

Bootstrap
function_parameter_names

function_parameter_names
diff_survival_time_quantile

diff_survival_time_quantile
treatment_effect

treatment_effect
survival_time_quantile

survival_time_quantile
ctree_wrapper

ctree_wrapper
subgroup

subgroup
rpart_wrapper

rpart_wrapper
parse_rpart

parse_rpart
mean_response

mean_response
mob_wrapper

mob_wrapper
diff_mean_deviance_residuals

diff_mean_deviance_residuals
partition

partition
distribution

distribution
%nin%

%nin%
parse_party

parse_party
summary,TSDT-method

Summary function for class TSDT.
get_y

get_y
na2empty

na2empty
subsample

subsample
unpack_args

unpack_args
unfactor

unfactor
diff_quantile_response

diff_quantile_response
reset_factor_levels

reset_factor_levels
hazard_ratio

hazard_ratio
diff_restricted_mean_survival_time

diff_restricted_mean_survival_time
mean_deviance_residuals

mean_deviance_residuals
rpart_nodes

rpart_nodes
get_cutpoints

get_cutpoints
get_covariates

get_covariates