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TSDT (version 1.0.0)

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

1.0.0

License

GPL (>= 2)

Maintainer

Brian Denton

Last Published

October 30th, 2018

Functions in TSDT (1.0.0)

TSDT

Treatment-Specific Subgroup Detection Tool
TSDT_CutpointDistribution-class

TSDT_CutpointDistribution
cutpoints

Get distribution of cutpoints for subgroups.
distribution

distribution
TSDT-class

TSDT
folds

folds
bootstrap

bootstrap
ctree_wrapper

ctree_wrapper
MOB-class

MOB
diff_survival_time_quantile

diff_survival_time_quantile
Bootstrap-class

Bootstrap
function_parameter_names

function_parameter_names
mean_deviance_residuals

mean_deviance_residuals
desirable_response_proportion

desirable_response_proportion
quantile_response

quantile_response
partition

partition
get_covariates

get_covariates
mean_response

mean_response
reset_factor_levels

reset_factor_levels
BootstrapStatistic-class

BootstrapStatistic
permutation

permutation
parse_party

parse_party
diff_quantile_response

diff_quantile_response
mob_wrapper

mob_wrapper
diff_mean_deviance_residuals

diff_mean_deviance_residuals
get_suggested_subgroup

get_suggested_subgroup
parse_rpart

parse_rpart
get_cutpoints

get_cutpoints
na2empty

na2empty
get_trt

get_trt
%nin%

%nin%
summary,TSDT-method

Summary function for class TSDT.
get_y

get_y
unpack_args

unpack_args
hazard_ratio

hazard_ratio
rpart_nodes

rpart_nodes
rpart_wrapper

rpart_wrapper
survival_time_quantile

survival_time_quantile
treatment_effect

treatment_effect
subgroup

subgroup
subsample

subsample
unfactor

unfactor
Subsample-class

Subsample
TSDT_Sample-class

TSDT_Sample
binary_transform

binary transform
CTree-class

CTree
diff_restricted_mean_survival_time

diff_restricted_mean_survival_time