News for Package PWEXP

Changes in version 0.5.0

• (predict.boot.pwexp.fit) remove 'type' parameter

• (plot_event.predict.boot.pwexp.fit) add 'type' parameter; change the dafault to 'confidence'

Changes in version 0.4.5

• (sim_followup) add 'follow_up_endpoint' parameter, which is used to define the end of follow-up

Changes in version 0.4.4

• (simdata) allow non-integer values in 'n_rand', 'rand_rate'

• (sim_followup) allow non-integer values in 'n_rand', 'rand_rate'

Changes in version 0.4.3

• (simdata) change enroll behavior. For example, when rand_rate=20, total_sample=25, in the previous version, randT is between 0 to 2, but now randT is between 0 to 1.25.

Changes in version 0.4.2

• (pwexp.fit) add empirical number of breakpoints when 'nbreak=NULL'

• (vignettes) add 'Usage of Package'

• (pwexp.fit, boot.pwexp.fit, cv.pwexp.fit) add 'min_pt_tail' parameter

• (sim_followup) change parameter name 'min_follow' to 'extra_follow'

• (sim_followup) change parameter name 'count_in_min_follow' to 'count_in_extra_follow'

Changes in version 0.4.1

• (plot_event) rewrite 'xyswitch=TRUE' to have the same result as 'xyswitch=FALSE'

• add 'Depends: survival, fastmatch' to DESCRIPTION

• (boot.pwexp.fit, cv.pwexp.fit) correctly attach functions in 'doSNOW', 'foreach' packages

Changes in version 0.4.0

• (boot.pwexp.fit) add 'parallel' option

• (cv.pwexp.fit) add 'parallel' option

Changes in version 0.3.1

• (plot_event) fix an error that 'xlab', 'ylab' do not work when 'xyswitch=TRUE'

Changes in version 0.3.0

• (sim_followup) fix an error when type='sample' or 'event', but 'at' is not an integer

Changes in version 0.2.0

• (pwexp.fit) fix when number of breaks is 2 more larger than number of event (error in combn function)

• (pwexp.fit) add warning 'Incorrect result returned'

• (pwexp.fit) fix case when no events and nbreak=0, now return -Inf results instead of 0

• (pwexp.fit) add 'tol' parameter to control the minimum gap between two breakpoints

• (predict.boot.pwexp.fit) skip unsuccessful prediction

• (predict.boot.pwexp.fit) add first row c(analysis_time, sum(para$event)) to line_data to make prediction from analysis_time

• (sim_followup) fix number of event=0 error

• (sim_followup) fix number of enrolled=0 error

Changes in version 0.1.0

• The first release.