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jhhughes256
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optinterval
Raw R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis.
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Using delta-time in place of time for err.interv
#20
jhhughes256
closed
6 years ago
2
Can a threshold on standard error be used to improve fits?
#19
jhhughes256
opened
6 years ago
1
optim.interv - Generate initial parameters using ga()
#18
jhhughes256
opened
7 years ago
5
Determining standard error on parameter estimates using hessian matrix
#17
jhhughes256
closed
6 years ago
2
optim.interv output is not ordered
#16
jhhughes256
closed
7 years ago
2
Outlier: prop < 0.5
#15
jhhughes256
closed
6 years ago
2
Increased popSize may replicate repeat optimisations
#14
jhhughes256
closed
7 years ago
2
Outlier: prop > 3
#13
jhhughes256
closed
6 years ago
1
Greater precision with optim.interv
#12
jhhughes256
closed
4 years ago
0
Perfecting the boundaries on study_rdata
#11
jhhughes256
closed
7 years ago
1
Greater precision with optim.sumexp
#10
jhhughes256
closed
4 years ago
0
Optim accepting disordered intervals as best solution
#9
jhhughes256
closed
7 years ago
4
Fitted Exponentials Resulting in Negative Values
#8
jhhughes256
closed
7 years ago
1
Can the precision of the algorithm be improved?
#7
jhhughes256
closed
7 years ago
5
GA error; if (object@run >= run) break : missing value where TRUE/FALSE needed
#6
jhhughes256
closed
7 years ago
3
removal of dependency on argument nexp in optim.sumexp
#5
jhhughes256
closed
7 years ago
1
What about linear-up log-down?
#4
jhhughes256
closed
6 years ago
2
incorrect theta used in optim.interv()
#3
jhhughes256
closed
7 years ago
0
optim.sumexp() trying multiple initial parameters
#2
jhhughes256
closed
7 years ago
1
optim() within optim.sumexp() using non-finite values
#1
jhhughes256
closed
7 years ago
2