2 ; Available output styles are SPLUS, MATLAB and EXCEL
3 ; The only differences are:
5 ; missning_data 'NA' 'NaN' ''
6 ; Header row yes no yes
8 ; The default output style is EXCEL
10 ; These two lines should not be modified, they are used to disable
11 ; experimental features of PsN.
14 ; Further experimental features
15 ;database_server=localhost
19 ; The following lines are LSF options.
20 remote_perl=some_path_to_a_perl_binary_working_on_remote_hosts
22 ; The following lines are nordugrid options
23 ; ng_clusters=some_path_to_a_file_with_cluster_names
25 ; The lines below are examples of how you can specify different
26 ; installations of NONMEM. By default, PsN will use the NONMEM
27 ; installation identified by the name 'default'. If only one
28 ; installation is specified, this will be used by default even if it
29 ; isn't called 'default'. To use other installations with the
30 ; PsN-utilities scripts, use the "-nm_version" command line
31 ; option. The last line is an example of how a windows installation
32 ; could be configured (notice the use of a backslash(\) instead of a
40 ; The compiler section specifies the name and compiler flags of the
41 ; compiler executable. It is also possible to include a path. Like
43 ; name=c:\fortran\fl32
46 ; Gnu fortran compiler
51 ;;MS Fortran Powerstation
56 ;;Digitial Visual Fortran 5.0
58 ;options=/optimize:4 /fltconsistency /fpe:3
59 ;;options=/optimize:1 /fpe:0
62 ; Options valid for all tools
66 [default_execute_options]
67 ; Options valid for execute
69 ; All correlations above this number will be listed
72 ; An error will be rised if the condition number is greater than this
75 condition_number_limit = 1000
77 ; If a parameter estimate is equal to a bound with this many
78 ; significant digits, a warning will be printed.
80 near_bound_sign_digits = 2
82 ; When the bound is zero, the check above is not valid. Use this limit
85 near_zero_boundary_limit = 0.001
87 ; The off-diagonal elements are checked against +-1 with this many
90 sign_digits_off_diagonals = 2
92 ; Coefficients of variation larger than these numbers will produce
95 large_theta_cv_limit = 0.30
96 large_omega_cv_limit = 0.50
97 large_sigma_cv_limit = 0.30
99 ; Confidence level for confidence intervals (percentage value)
101 confidence_level = 95
103 ; Precision in -summarize output.
107 [default_llp_options]
108 ; Options valid for llp
110 ; Check if the confidence intervals include this value
111 within_interval_check = 0
113 ; Check if the CI limit distance ratio is above this value or below its reciprocal value
114 theta_interval_ratio_check = 1.3
115 omega_interval_ratio_check = 1.6
116 sigma_interval_ratio_check = 1.6
118 [default_cdd_options]
119 ; Options valid for cdd
121 ; Mark the cook-scores and covariance-ratios that lie outside this number of standard deviations
122 outside_n_sd_check = 2
124 [default_bootstrap_options]
125 ; Options valid for the bootstrap
127 ; Use these rules for calculating the bootstrap results
128 skip_minimization_terminated = 1
129 skip_covariance_step_terminated = 0
130 skip_with_covstep_warnings = 0
131 skip_estimate_near_boundary = 1
133 ; Warn if the ratio of successful minimizations/total runs is lower than this value
134 minimization_successful_limit = 0.8
136 ; Warn if the ratio of successful covariance steps/total runs is lower than this value
137 covariance_step_successful_limit = 0.8
139 ; Warn if the ratio of runs with covariance step warnings/total runs is higher than this value
140 covariance_step_warnings_limit = 0.2
142 ; Warn if the ratio of runs with near boundary warnings/total runs is higher than this value
143 estimate_near_boundary_limit = 0.2
145 ; Warn if the ratio of runs with near boundary warnings/total runs is higher than this value
146 estimate_near_boundary_limit = 0.2
148 ; Use this level of confidence for the confidence intervals checks based on bootstrap standerd errors (%)
149 se_confidence_intervals_level = 5
151 ; Use this level of confidence for the confidence intervals checks based on bootstrap percentiles (%)
152 percentile_confidence_intervals_level = 5
154 ; Use this level of confidence for the confidence intervals checks based on bootstrap BCa percentiles (%)
155 bca_confidence_intervals_level = 5
157 ; Check if the confidence intervals based on bootstrap standerd errors include this value
158 se_confidence_intervals_check = 0
160 ; Check if the confidence intervals based on bootstrap percentiles include this value
161 percentile_confidence_intervals_check = 0
163 ; Check if the confidence intervals based on bootstrap BCa percentiles include this value
164 bca_confidence_intervals_check = 0
166 ; Warn if the absolute relative bias is larger than this value
167 large_bias_limit = 0.05