From 6178249bbb5e9de7cb7f34287ee7de28a68fed6c Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 10 Aug 2022 15:38:17 +0200 Subject: Change dev branch used for docs, update static docs --- docs/dev/reference/summary.saem.mmkin.html | 454 +++++++++++++++++++++++++---- 1 file changed, 401 insertions(+), 53 deletions(-) (limited to 'docs/dev/reference/summary.saem.mmkin.html') diff --git a/docs/dev/reference/summary.saem.mmkin.html b/docs/dev/reference/summary.saem.mmkin.html index febf25b4..6cab9c5f 100644 --- a/docs/dev/reference/summary.saem.mmkin.html +++ b/docs/dev/reference/summary.saem.mmkin.html @@ -21,7 +21,7 @@ endpoints such as formation fractions and DT50 values. Optionally mkin - 1.1.0 + 1.1.2 @@ -30,7 +30,7 @@ endpoints such as formation fractions and DT50 values. Optionally Functions and data
  • Example evaluation of FOCUS Laboratory Data L1 to L3
  • +
  • + Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models +
  • Example evaluation of FOCUS Example Dataset Z
  • @@ -92,59 +95,88 @@ endpoints such as formation fractions and DT50 values. Optionally
    -
    # S3 method for saem.mmkin
    -summary(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
    -
    -# S3 method for summary.saem.mmkin
    -print(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)
    +
    # S3 method for saem.mmkin
    +summary(object, data = FALSE, verbose = FALSE, distimes = TRUE, ...)
    +
    +# S3 method for summary.saem.mmkin
    +print(x, digits = max(3, getOption("digits") - 3), verbose = x$verbose, ...)

    Arguments

    object

    an object of class saem.mmkin

    + +
    data

    logical, indicating whether the full data should be included in the summary.

    + +
    verbose

    Should the summary be verbose?

    + +
    distimes

    logical, indicating whether DT50 and DT90 values should be included.

    + +
    ...

    optional arguments passed to methods like print.

    + +
    x

    an object of class summary.saem.mmkin

    + +
    digits

    Number of digits to use for printing

    +

    Value

    -

    The summary function returns a list based on the saemix::SaemixObjectobtained in the fit, with at least the following additional components

    + + +

    The summary function returns a list based on the saemix::SaemixObject

    + + +

    obtained in the fit, with at least the following additional components

    saemixversion, mkinversion, Rversion

    The saemix, mkin and R versions used

    +
    date.fit, date.summary

    The dates where the fit and the summary were produced

    +
    diffs

    The differential equations used in the degradation model

    +
    use_of_ff

    Was maximum or minimum use made of formation fractions

    +
    data

    The data

    +
    confint_trans

    Transformed parameters as used in the optimisation, with confidence intervals

    +
    confint_back

    Backtransformed parameters, with confidence intervals if available

    +
    confint_errmod

    Error model parameters with confidence intervals

    +
    ff

    The estimated formation fractions derived from the fitted model.

    +
    distimes

    The DT50 and DT90 values for each observed variable.

    +
    SFORB

    If applicable, eigenvalues of SFORB components of the model.

    +

    The print method is called for its side effect, i.e. printing the summary.

    @@ -155,50 +187,366 @@ saemix authors for the parts inherited from saemix.

    Examples

    -
    # Generate five datasets following DFOP-SFO kinetics
    -sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
    -dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
    - m1 = mkinsub("SFO"), quiet = TRUE)
    -set.seed(1234)
    -k1_in <- rlnorm(5, log(0.1), 0.3)
    -k2_in <- rlnorm(5, log(0.02), 0.3)
    -g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
    -f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
    -k_m1_in <- rlnorm(5, log(0.02), 0.3)
    -
    -pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
    -  mkinpredict(dfop_sfo,
    -    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
    -    c(parent = 100, m1 = 0),
    -    sampling_times)
    -}
    -
    -ds_mean_dfop_sfo <- lapply(1:5, function(i) {
    -  mkinpredict(dfop_sfo,
    -    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
    -      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
    -    c(parent = 100, m1 = 0),
    -    sampling_times)
    -})
    -names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
    -
    -ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
    -  add_err(ds,
    -    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
    -    n = 1)[[1]]
    -})
    -
    -# \dontrun{
    -# Evaluate using mmkin and saem
    -f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
    -  quiet = TRUE, error_model = "tc", cores = 5)
    -f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
    -#>  
    -#> Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].
    -summary(f_saem_dfop_sfo, data = TRUE)
    -#> Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found
    -# }
    -
    +    
    # Generate five datasets following DFOP-SFO kinetics
    +sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
    +dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
    + m1 = mkinsub("SFO"), quiet = TRUE)
    +set.seed(1234)
    +k1_in <- rlnorm(5, log(0.1), 0.3)
    +k2_in <- rlnorm(5, log(0.02), 0.3)
    +g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
    +f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
    +k_m1_in <- rlnorm(5, log(0.02), 0.3)
    +
    +pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
    +  mkinpredict(dfop_sfo,
    +    c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
    +    c(parent = 100, m1 = 0),
    +    sampling_times)
    +}
    +
    +ds_mean_dfop_sfo <- lapply(1:5, function(i) {
    +  mkinpredict(dfop_sfo,
    +    c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
    +      f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
    +    c(parent = 100, m1 = 0),
    +    sampling_times)
    +})
    +names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
    +
    +ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
    +  add_err(ds,
    +    sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
    +    n = 1)[[1]]
    +})
    +
    +# \dontrun{
    +# Evaluate using mmkin and saem
    +f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
    +  quiet = TRUE, error_model = "tc", cores = 5)
    +f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
    +print(f_saem_dfop_sfo)
    +#> Kinetic nonlinear mixed-effects model fit by SAEM
    +#> Structural model:
    +#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
    +#>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
    +#>            * parent
    +#> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
    +#>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
    +#>            exp(-k2 * time))) * parent - k_m1 * m1
    +#> 
    +#> Data:
    +#> 171 observations of 2 variable(s) grouped in 5 datasets
    +#> 
    +#> Likelihood computed by importance sampling
    +#>     AIC   BIC logLik
    +#>   828.1 822.7 -400.1
    +#> 
    +#> Fitted parameters:
    +#>                     estimate    lower     upper
    +#> parent_0           100.74378 97.81291 103.67465
    +#> log_k_m1            -4.06168 -4.17104  -3.95231
    +#> f_parent_qlogis     -0.92584 -1.31273  -0.53894
    +#> log_k1              -2.81914 -3.60206  -2.03623
    +#> log_k2              -3.63916 -4.32672  -2.95161
    +#> g_qlogis            -0.02927 -1.15247   1.09394
    +#> a.1                  0.86164  0.67928   1.04400
    +#> b.1                  0.07973  0.06437   0.09509
    +#> SD.parent_0          0.73313 -7.46512   8.93137
    +#> SD.log_k_m1          0.06488 -0.06041   0.19017
    +#> SD.f_parent_qlogis   0.41955  0.15206   0.68705
    +#> SD.log_k1            0.81750  0.29140   1.34361
    +#> SD.log_k2            0.75265  0.27939   1.22590
    +#> SD.g_qlogis          0.34411 -1.70964   2.39786
    +illparms(f_saem_dfop_sfo)
    +#> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"
    +f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0)))
    +illparms(f_saem_dfop_sfo_2)
    +#> character(0)
    +intervals(f_saem_dfop_sfo_2)
    +#> Approximate 95% confidence intervals
    +#> 
    +#>  Fixed effects:
    +#>                      lower         est.        upper
    +#> parent_0       97.54844979 100.46239264 103.37633550
    +#> k_m1            0.01575805   0.01729111   0.01897331
    +#> f_parent_to_m1  0.21014925   0.28626877   0.37680664
    +#> k1              0.02651112   0.05601399   0.11834908
    +#> k2              0.01326524   0.02649799   0.05293107
    +#> g               0.31467778   0.51297098   0.70726363
    +#> 
    +#>  Random effects:
    +#>                         lower      est.     upper
    +#> sd(f_parent_qlogis) 0.1658367 0.4471180 0.7283993
    +#> sd(log_k1)          0.2768757 0.7929203 1.3089649
    +#> sd(log_k2)          0.2693629 0.7566116 1.2438602
    +#> 
    +#>  
    +#>          lower       est.      upper
    +#> a.1 0.70273100 0.88750764 1.07228428
    +#> b.1 0.06781347 0.08328016 0.09874685
    +summary(f_saem_dfop_sfo_2, data = TRUE)
    +#> saemix version used for fitting:      3.1 
    +#> mkin version used for pre-fitting:  1.1.2 
    +#> R version used for fitting:         4.2.1 
    +#> Date of fit:     Wed Aug 10 15:28:15 2022 
    +#> Date of summary: Wed Aug 10 15:28:15 2022 
    +#> 
    +#> Equations:
    +#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
    +#>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
    +#>            * parent
    +#> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
    +#>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
    +#>            exp(-k2 * time))) * parent - k_m1 * m1
    +#> 
    +#> Data:
    +#> 171 observations of 2 variable(s) grouped in 5 datasets
    +#> 
    +#> Model predictions using solution type analytical 
    +#> 
    +#> Fitted in 27.674 s
    +#> Using 300, 100 iterations and 10 chains
    +#> 
    +#> Variance model: Two-component variance function 
    +#> 
    +#> Mean of starting values for individual parameters:
    +#>        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
    +#>       101.65645        -4.05368        -0.94311        -2.35943        -4.07006 
    +#>        g_qlogis 
    +#>        -0.01132 
    +#> 
    +#> Fixed degradation parameter values:
    +#> None
    +#> 
    +#> Results:
    +#> 
    +#> Likelihood computed by importance sampling
    +#>     AIC   BIC logLik
    +#>   825.6 821.3 -401.8
    +#> 
    +#> Optimised parameters:
    +#>                     est.   lower    upper
    +#> parent_0        100.4624 97.5484 103.3763
    +#> log_k_m1         -4.0576 -4.1504  -3.9647
    +#> f_parent_qlogis  -0.9136 -1.3240  -0.5031
    +#> log_k1           -2.8822 -3.6302  -2.1341
    +#> log_k2           -3.6307 -4.3226  -2.9388
    +#> g_qlogis          0.0519 -0.7783   0.8821
    +#> 
    +#> Correlation: 
    +#>                 parnt_0 lg_k_m1 f_prnt_ log_k1  log_k2 
    +#> log_k_m1        -0.4102                                
    +#> f_parent_qlogis -0.2113  0.2439                        
    +#> log_k1           0.1308 -0.1305 -0.0504                
    +#> log_k2          -0.0383  0.0592  0.0151  0.0001        
    +#> g_qlogis        -0.0029 -0.0118  0.0131 -0.2547 -0.1942
    +#> 
    +#> Random effects:
    +#>                      est.  lower  upper
    +#> SD.f_parent_qlogis 0.4471 0.1658 0.7284
    +#> SD.log_k1          0.7929 0.2769 1.3090
    +#> SD.log_k2          0.7566 0.2694 1.2439
    +#> 
    +#> Variance model:
    +#>        est.   lower   upper
    +#> a.1 0.88751 0.70273 1.07228
    +#> b.1 0.08328 0.06781 0.09875
    +#> 
    +#> Backtransformed parameters:
    +#>                     est.    lower     upper
    +#> parent_0       100.46239 97.54845 103.37634
    +#> k_m1             0.01729  0.01576   0.01897
    +#> f_parent_to_m1   0.28627  0.21015   0.37681
    +#> k1               0.05601  0.02651   0.11835
    +#> k2               0.02650  0.01327   0.05293
    +#> g                0.51297  0.31468   0.70726
    +#> 
    +#> Resulting formation fractions:
    +#>                 ff
    +#> parent_m1   0.2863
    +#> parent_sink 0.7137
    +#> 
    +#> Estimated disappearance times:
    +#>         DT50   DT90 DT50back DT50_k1 DT50_k2
    +#> parent 17.44  65.15    19.61   12.37   26.16
    +#> m1     40.09 133.17       NA      NA      NA
    +#> 
    +#> Data:
    +#>    ds   name time observed  predicted   residual    std standardized
    +#>  ds 1 parent    0     89.8  1.005e+02 -10.662393 8.4135    -1.267301
    +#>  ds 1 parent    0    104.1  1.005e+02   3.637607 8.4135     0.432355
    +#>  ds 1 parent    1     88.7  9.576e+01  -7.063498 8.0244    -0.880249
    +#>  ds 1 parent    1     95.5  9.576e+01  -0.263498 8.0244    -0.032837
    +#>  ds 1 parent    3     81.8  8.717e+01  -5.369491 7.3135    -0.734185
    +#>  ds 1 parent    3     94.5  8.717e+01   7.330509 7.3135     1.002320
    +#>  ds 1 parent    7     71.5  7.274e+01  -1.238672 6.1224    -0.202319
    +#>  ds 1 parent    7     70.3  7.274e+01  -2.438672 6.1224    -0.398322
    +#>  ds 1 parent   14     54.2  5.418e+01   0.022691 4.5984     0.004935
    +#>  ds 1 parent   14     49.6  5.418e+01  -4.577309 4.5984    -0.995423
    +#>  ds 1 parent   28     31.5  3.241e+01  -0.914545 2.8416    -0.321837
    +#>  ds 1 parent   28     28.8  3.241e+01  -3.614545 2.8416    -1.271993
    +#>  ds 1 parent   60     12.1  1.283e+01  -0.730904 1.3891    -0.526186
    +#>  ds 1 parent   60     13.6  1.283e+01   0.769096 1.3891     0.553681
    +#>  ds 1 parent   90      6.2  6.128e+00   0.071981 1.0238     0.070309
    +#>  ds 1 parent   90      8.3  6.128e+00   2.171981 1.0238     2.121538
    +#>  ds 1 parent  120      2.2  3.022e+00  -0.822164 0.9225    -0.891230
    +#>  ds 1 parent  120      2.4  3.022e+00  -0.622164 0.9225    -0.674429
    +#>  ds 1     m1    1      0.3  1.163e+00  -0.863423 0.8928    -0.967116
    +#>  ds 1     m1    1      0.2  1.163e+00  -0.963423 0.8928    -1.079126
    +#>  ds 1     m1    3      2.2  3.233e+00  -1.032930 0.9274    -1.113734
    +#>  ds 1     m1    3      3.0  3.233e+00  -0.232930 0.9274    -0.251152
    +#>  ds 1     m1    7      6.5  6.495e+00   0.005314 1.0393     0.005113
    +#>  ds 1     m1    7      5.0  6.495e+00  -1.494686 1.0393    -1.438116
    +#>  ds 1     m1   14     10.2  1.010e+01   0.096372 1.2230     0.078801
    +#>  ds 1     m1   14      9.5  1.010e+01  -0.603628 1.2230    -0.493572
    +#>  ds 1     m1   28     12.2  1.269e+01  -0.492073 1.3802    -0.356526
    +#>  ds 1     m1   28     13.4  1.269e+01   0.707927 1.3802     0.512922
    +#>  ds 1     m1   60     11.8  1.086e+01   0.944360 1.2669     0.745420
    +#>  ds 1     m1   60     13.2  1.086e+01   2.344360 1.2669     1.850494
    +#>  ds 1     m1   90      6.6  7.723e+00  -1.123088 1.0961    -1.024658
    +#>  ds 1     m1   90      9.3  7.723e+00   1.576912 1.0961     1.438708
    +#>  ds 1     m1  120      3.5  5.184e+00  -1.683936 0.9869    -1.706219
    +#>  ds 1     m1  120      5.4  5.184e+00   0.216064 0.9869     0.218923
    +#>  ds 2 parent    0    118.0  1.005e+02  17.537607 8.4135     2.084469
    +#>  ds 2 parent    0     99.8  1.005e+02  -0.662393 8.4135    -0.078730
    +#>  ds 2 parent    1     90.2  9.566e+01  -5.456414 8.0156    -0.680727
    +#>  ds 2 parent    1     94.6  9.566e+01  -1.056414 8.0156    -0.131795
    +#>  ds 2 parent    3     96.1  8.702e+01   9.082833 7.3009     1.244062
    +#>  ds 2 parent    3     78.4  8.702e+01  -8.617167 7.3009    -1.180281
    +#>  ds 2 parent    7     77.9  7.298e+01   4.919834 6.1423     0.800981
    +#>  ds 2 parent    7     77.7  7.298e+01   4.719834 6.1423     0.768420
    +#>  ds 2 parent   14     56.0  5.588e+01   0.124003 4.7372     0.026176
    +#>  ds 2 parent   14     54.7  5.588e+01  -1.175997 4.7372    -0.248245
    +#>  ds 2 parent   28     36.6  3.719e+01  -0.587869 3.2217    -0.182474
    +#>  ds 2 parent   28     36.8  3.719e+01  -0.387869 3.2217    -0.120394
    +#>  ds 2 parent   60     22.1  2.013e+01   1.973728 1.8966     1.040673
    +#>  ds 2 parent   60     24.7  2.013e+01   4.573728 1.8966     2.411556
    +#>  ds 2 parent   90     12.4  1.259e+01  -0.185933 1.3734    -0.135379
    +#>  ds 2 parent   90     10.8  1.259e+01  -1.785933 1.3734    -1.300347
    +#>  ds 2 parent  120      6.8  7.981e+00  -1.180542 1.1088    -1.064723
    +#>  ds 2 parent  120      7.9  7.981e+00  -0.080542 1.1088    -0.072640
    +#>  ds 2     m1    1      1.3  1.306e+00  -0.006246 0.8941    -0.006986
    +#>  ds 2     m1    3      3.7  3.589e+00   0.110879 0.9365     0.118399
    +#>  ds 2     m1    3      4.7  3.589e+00   1.110879 0.9365     1.186217
    +#>  ds 2     m1    7      8.1  7.062e+00   1.038045 1.0647     0.974978
    +#>  ds 2     m1    7      7.9  7.062e+00   0.838045 1.0647     0.787129
    +#>  ds 2     m1   14     10.1  1.065e+01  -0.553713 1.2549    -0.441227
    +#>  ds 2     m1   14     10.3  1.065e+01  -0.353713 1.2549    -0.281857
    +#>  ds 2     m1   28     10.7  1.284e+01  -2.144854 1.3900    -1.543111
    +#>  ds 2     m1   28     12.2  1.284e+01  -0.644854 1.3900    -0.463939
    +#>  ds 2     m1   60     10.7  1.082e+01  -0.115278 1.2645    -0.091165
    +#>  ds 2     m1   60     12.5  1.082e+01   1.684722 1.2645     1.332337
    +#>  ds 2     m1   90      9.1  8.014e+00   1.085607 1.1105     0.977610
    +#>  ds 2     m1   90      7.4  8.014e+00  -0.614393 1.1105    -0.553272
    +#>  ds 2     m1  120      6.1  5.736e+00   0.363593 1.0079     0.360737
    +#>  ds 2     m1  120      4.5  5.736e+00  -1.236407 1.0079    -1.226697
    +#>  ds 3 parent    0    106.2  1.005e+02   5.737607 8.4135     0.681955
    +#>  ds 3 parent    0    106.9  1.005e+02   6.437607 8.4135     0.765155
    +#>  ds 3 parent    1    107.4  9.343e+01  13.972212 7.8311     1.784188
    +#>  ds 3 parent    1     96.1  9.343e+01   2.672212 7.8311     0.341229
    +#>  ds 3 parent    3     79.4  8.160e+01  -2.196297 6.8531    -0.320484
    +#>  ds 3 parent    3     82.6  8.160e+01   1.003703 6.8531     0.146460
    +#>  ds 3 parent    7     63.9  6.464e+01  -0.737220 5.4557    -0.135129
    +#>  ds 3 parent    7     62.4  6.464e+01  -2.237220 5.4557    -0.410072
    +#>  ds 3 parent   14     51.0  4.772e+01   3.278433 4.0722     0.805086
    +#>  ds 3 parent   14     47.1  4.772e+01  -0.621567 4.0722    -0.152638
    +#>  ds 3 parent   28     36.1  3.303e+01   3.070676 2.8903     1.062400
    +#>  ds 3 parent   28     36.6  3.303e+01   3.570676 2.8903     1.235391
    +#>  ds 3 parent   60     20.1  1.929e+01   0.808039 1.8355     0.440235
    +#>  ds 3 parent   60     19.8  1.929e+01   0.508039 1.8355     0.276789
    +#>  ds 3 parent   90     11.3  1.209e+01  -0.794443 1.3425    -0.591785
    +#>  ds 3 parent   90     10.7  1.209e+01  -1.394443 1.3425    -1.038728
    +#>  ds 3 parent  120      8.2  7.590e+00   0.610002 1.0896     0.559843
    +#>  ds 3 parent  120      7.3  7.590e+00  -0.289998 1.0896    -0.266152
    +#>  ds 3     m1    0      0.8 -4.263e-14   0.800000 0.8875     0.901401
    +#>  ds 3     m1    1      1.8  1.692e+00   0.107665 0.8986     0.119811
    +#>  ds 3     m1    1      2.3  1.692e+00   0.607665 0.8986     0.676214
    +#>  ds 3     m1    3      4.2  4.455e+00  -0.255347 0.9619    -0.265449
    +#>  ds 3     m1    3      4.1  4.455e+00  -0.355347 0.9619    -0.369404
    +#>  ds 3     m1    7      6.8  8.124e+00  -1.324338 1.1160    -1.186685
    +#>  ds 3     m1    7     10.1  8.124e+00   1.975662 1.1160     1.770309
    +#>  ds 3     m1   14     11.4  1.104e+01   0.361860 1.2778     0.283196
    +#>  ds 3     m1   14     12.8  1.104e+01   1.761860 1.2778     1.378852
    +#>  ds 3     m1   28     11.5  1.177e+01  -0.272554 1.3225    -0.206097
    +#>  ds 3     m1   28     10.6  1.177e+01  -1.172554 1.3225    -0.886648
    +#>  ds 3     m1   60      7.5  9.242e+00  -1.741667 1.1747    -1.482591
    +#>  ds 3     m1   60      8.6  9.242e+00  -0.641667 1.1747    -0.546218
    +#>  ds 3     m1   90      7.3  6.837e+00   0.463318 1.0544     0.439398
    +#>  ds 3     m1   90      8.1  6.837e+00   1.263318 1.0544     1.198095
    +#>  ds 3     m1  120      5.3  4.906e+00   0.394322 0.9770     0.403595
    +#>  ds 3     m1  120      3.8  4.906e+00  -1.105678 0.9770    -1.131677
    +#>  ds 4 parent    0    104.7  1.005e+02   4.237607 8.4135     0.503670
    +#>  ds 4 parent    0     88.3  1.005e+02 -12.162393 8.4135    -1.445587
    +#>  ds 4 parent    1     94.2  9.723e+01  -3.029220 8.1458    -0.371877
    +#>  ds 4 parent    1     94.6  9.723e+01  -2.629220 8.1458    -0.322772
    +#>  ds 4 parent    3     78.1  9.114e+01 -13.041804 7.6420    -1.706592
    +#>  ds 4 parent    3     96.5  9.114e+01   5.358196 7.6420     0.701150
    +#>  ds 4 parent    7     76.2  8.033e+01  -4.133084 6.7488    -0.612421
    +#>  ds 4 parent    7     77.8  8.033e+01  -2.533084 6.7488    -0.375340
    +#>  ds 4 parent   14     70.8  6.504e+01   5.757987 5.4889     1.049017
    +#>  ds 4 parent   14     67.3  6.504e+01   2.257987 5.4889     0.411371
    +#>  ds 4 parent   28     43.1  4.418e+01  -1.080806 3.7849    -0.285557
    +#>  ds 4 parent   28     45.1  4.418e+01   0.919194 3.7849     0.242858
    +#>  ds 4 parent   60     21.3  2.110e+01   0.200596 1.9686     0.101899
    +#>  ds 4 parent   60     23.5  2.110e+01   2.400596 1.9686     1.219459
    +#>  ds 4 parent   90     11.8  1.183e+01  -0.034206 1.3263    -0.025791
    +#>  ds 4 parent   90     12.1  1.183e+01   0.265794 1.3263     0.200408
    +#>  ds 4 parent  120      7.0  6.985e+00   0.014647 1.0612     0.013803
    +#>  ds 4 parent  120      6.2  6.985e+00  -0.785353 1.0612    -0.740078
    +#>  ds 4     m1    0      1.6 -1.705e-13   1.600000 0.8875     1.802801
    +#>  ds 4     m1    1      0.9  6.803e-01   0.219655 0.8893     0.246994
    +#>  ds 4     m1    3      3.7  1.927e+00   1.773027 0.9019     1.965880
    +#>  ds 4     m1    3      2.0  1.927e+00   0.073027 0.9019     0.080970
    +#>  ds 4     m1    7      3.6  4.013e+00  -0.412926 0.9483    -0.435417
    +#>  ds 4     m1    7      3.8  4.013e+00  -0.212926 0.9483    -0.224523
    +#>  ds 4     m1   14      7.1  6.604e+00   0.495843 1.0441     0.474896
    +#>  ds 4     m1   14      6.6  6.604e+00  -0.004157 1.0441    -0.003981
    +#>  ds 4     m1   28      9.5  9.077e+00   0.422700 1.1658     0.362576
    +#>  ds 4     m1   28      9.3  9.077e+00   0.222700 1.1658     0.191024
    +#>  ds 4     m1   60      8.3  8.818e+00  -0.518498 1.1520    -0.450099
    +#>  ds 4     m1   60      9.0  8.818e+00   0.181502 1.1520     0.157559
    +#>  ds 4     m1   90      6.6  6.738e+00  -0.137785 1.0500    -0.131222
    +#>  ds 4     m1   90      7.7  6.738e+00   0.962215 1.0500     0.916383
    +#>  ds 4     m1  120      3.7  4.794e+00  -1.093754 0.9732    -1.123914
    +#>  ds 4     m1  120      3.5  4.794e+00  -1.293754 0.9732    -1.329429
    +#>  ds 5 parent    0    110.4  1.005e+02   9.937607 8.4135     1.181155
    +#>  ds 5 parent    0    112.1  1.005e+02  11.637607 8.4135     1.383212
    +#>  ds 5 parent    1     93.5  9.372e+01  -0.215694 7.8550    -0.027460
    +#>  ds 5 parent    1     91.0  9.372e+01  -2.715694 7.8550    -0.345730
    +#>  ds 5 parent    3     71.0  8.226e+01 -11.257156 6.9076    -1.629667
    +#>  ds 5 parent    3     89.7  8.226e+01   7.442844 6.9076     1.077480
    +#>  ds 5 parent    7     60.4  6.553e+01  -5.128464 5.5289    -0.927571
    +#>  ds 5 parent    7     59.1  6.553e+01  -6.428464 5.5289    -1.162699
    +#>  ds 5 parent   14     56.5  4.835e+01   8.146351 4.1235     1.975572
    +#>  ds 5 parent   14     47.0  4.835e+01  -1.353649 4.1235    -0.328273
    +#>  ds 5 parent   28     30.2  3.300e+01  -2.803303 2.8883    -0.970586
    +#>  ds 5 parent   28     23.9  3.300e+01  -9.103303 2.8883    -3.151832
    +#>  ds 5 parent   60     17.0  1.891e+01  -1.905909 1.8074    -1.054506
    +#>  ds 5 parent   60     18.7  1.891e+01  -0.205909 1.8074    -0.113926
    +#>  ds 5 parent   90     11.3  1.172e+01  -0.423434 1.3194    -0.320923
    +#>  ds 5 parent   90     11.9  1.172e+01   0.176566 1.3194     0.133820
    +#>  ds 5 parent  120      9.0  7.281e+00   1.719138 1.0749     1.599402
    +#>  ds 5 parent  120      8.1  7.281e+00   0.819138 1.0749     0.762086
    +#>  ds 5     m1    0      0.7 -2.842e-13   0.700000 0.8875     0.788726
    +#>  ds 5     m1    1      3.0  3.252e+00  -0.252227 0.9279    -0.271821
    +#>  ds 5     m1    1      2.6  3.252e+00  -0.652227 0.9279    -0.702895
    +#>  ds 5     m1    3      5.1  8.615e+00  -3.515326 1.1413    -3.080237
    +#>  ds 5     m1    3      7.5  8.615e+00  -1.115326 1.1413    -0.977283
    +#>  ds 5     m1    7     16.5  1.588e+01   0.619041 1.5928     0.388661
    +#>  ds 5     m1    7     19.0  1.588e+01   3.119041 1.5928     1.958272
    +#>  ds 5     m1   14     22.9  2.189e+01   1.014705 2.0272     0.500543
    +#>  ds 5     m1   14     23.2  2.189e+01   1.314705 2.0272     0.648529
    +#>  ds 5     m1   28     22.2  2.369e+01  -1.487604 2.1632    -0.687701
    +#>  ds 5     m1   28     24.4  2.369e+01   0.712396 2.1632     0.329332
    +#>  ds 5     m1   60     15.5  1.869e+01  -3.193942 1.7920    -1.782295
    +#>  ds 5     m1   60     19.8  1.869e+01   1.106058 1.7920     0.617206
    +#>  ds 5     m1   90     14.9  1.380e+01   1.103454 1.4518     0.760041
    +#>  ds 5     m1   90     14.2  1.380e+01   0.403454 1.4518     0.277892
    +#>  ds 5     m1  120     10.9  9.864e+00   1.035963 1.2093     0.856637
    +#>  ds 5     m1  120     10.4  9.864e+00   0.535963 1.2093     0.443187
    +# }
    +
     
    @@ -213,7 +561,7 @@ saemix authors for the parts inherited from saemix.

    -

    Site built with pkgdown 2.0.2.

    +

    Site built with pkgdown 2.0.6.

    -- cgit v1.2.1