• using R version 3.0.1 Patched (2013-05-16 r62757)
• using platform: x86_64-unknown-linux-gnu (64-bit)
• using session charset: UTF-8
• checking for file ‘bbmle/DESCRIPTION’ ... OK
• this is package ‘bbmle’ version ‘1.0.5.2’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘bbmle’ can be installed ... OK
• checking installed package size ... OK
• checking package directory ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking for left-over files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking R files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... OK
• checking whether the package can be loaded with stated dependencies ... OK
• checking whether the package can be unloaded cleanly ... OK
• checking whether the namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking loading without being on the library search path ... OK
• checking for unstated dependencies in R code ... OK
• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
• checking foreign function calls ... OK
• checking R code for possible problems ... OK
• checking Rd files ... OK
• checking Rd metadata ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking Rd contents ... OK
• checking for unstated dependencies in examples ... OK
• checking sizes of PDF files under ‘inst/doc’ ... OK
• checking installed files from ‘inst/doc’ ... OK
• checking examples ... [6s/6s] OK
• checking for unstated dependencies in tests ... OK
• checking tests ... [30s/30s] OK
  Running ‘BIC.R’ [0s/0s]
  Comparing ‘BIC.Rout’ to ‘BIC.Rout.save’ ...9c9
  < > BIC(fit)
  ---
  > > BIC(fit,nobs=length(x))
  11,14c11,14
  < > BIC(fit,fit2)
  < df BIC
  < fit 2 62.0039
  < fit2 1 228.2046
  ---
  > > BIC(fit,fit2,nobs=length(x))
  > BIC df
  > 1 62.0039 2
  > 2 228.2046 1
  Running ‘ICtab.R’ [0s/0s]
  Comparing ‘ICtab.Rout’ to ‘ICtab.Rout.save’ ... OK
  Running ‘RUnit-tests.R’ [0s/0s]
  Comparing ‘RUnit-tests.Rout’ to ‘RUnit-tests.Rout.save’ ... OK
  Running ‘binomtest1.R’ [2s/2s]
  Comparing ‘binomtest1.Rout’ to ‘binomtest1.Rout.save’ ...34,38c34,38
  < 1 -4.2047554 0.294897783 -0.002923583
  < 2 -3.1552212 0.341178865 0.002585989
  < 3 -2.2351135 0.387459947 0.007009784
  < 4 -1.4145492 0.433741029 0.010694588
  < 5 -0.6726288 0.480022111 0.013859290
  ---
  > 1 -4.2047344 0.294898645 -0.002923466
  > 2 -3.1552066 0.341179554 0.002586064
  > 3 -2.2351038 0.387460464 0.007009828
  > 4 -1.4145435 0.433741374 0.010694613
  > 5 -0.6726261 0.480022283 0.013859302
  40,46c40,46
  < 7 0.6321760 0.572584274 0.019113315
  < 8 1.2156093 0.618865356 0.021399166
  < 9 1.7630665 0.665146438 0.023494944
  < 10 2.2805003 0.711427520 0.025475127
  < 11 2.7729234 0.757708602 0.027355982
  < 12 3.2447829 0.803989684 0.029170797
  < 13 3.7001640 0.850270766 0.030945320
  ---
  > 7 0.6321738 0.572584102 0.019113307
  > 8 1.2156051 0.618865012 0.021399150
  > 9 1.7630606 0.665145921 0.023494921
  > 10 2.2804928 0.711426831 0.025475099
  > 11 2.7729144 0.757707740 0.027355948
  > 12 3.2447726 0.803988650 0.029170757
  > 13 3.7001523 0.850269559 0.030945274
  50,62c50,62
  < 1 -3.7637734 0.326856388 -0.002427473
  < 2 -3.1748492 0.354263260 0.000751042
  < 3 -2.5644575 0.384375345 0.003929557
  < 4 -1.9359501 0.417048930 0.007108072
  < 5 -1.2938816 0.451955213 0.010286586
  < 6 -0.6437628 0.488599955 0.013465101
  < 7 0.0000000 0.526303193 0.016643616
  < 8 0.6563208 0.564651420 0.019822131
  < 9 1.2951093 0.602851644 0.023000645
  < 10 1.9201322 0.640513395 0.026179160
  < 11 2.5281144 0.677306100 0.029357675
  < 12 3.1168399 0.713018494 0.032536190
  < 13 3.6850068 0.747543285 0.035714705
  ---
  > 1 -3.7637543 0.3268572493 -0.0024273676
  > 2 -3.1748327 0.3542640536 0.0007511297
  > 3 -2.5644438 0.3843760379 0.0039296269
  > 4 -1.9359396 0.4170494900 0.0071081242
  > 5 -1.2938745 0.4519556085 0.0102866214
  > 6 -0.6437592 0.4886001613 0.0134651187
  > 7 0.0000000 0.5263031926 0.0166436159
  > 8 0.6563173 0.5646512092 0.0198221132
  > 9 1.2951023 0.6028512247 0.0230006104
  > 10 1.9201220 0.6405127788 0.0261791077
  > 11 2.5281012 0.6773052997 0.0293576049
  > 12 3.1168240 0.7130175259 0.0325361022
  > 13 3.6849884 0.7475421634 0.0357145994
  66c66
  < a 0.402495806 0.68249529
  ---
  > a 0.402495803 0.68249529
  87c87
  < a 0.402495806 0.68249529
  ---
  > a 0.402495803 0.68249529
  Running ‘controleval.R’ [1s/1s]
  Comparing ‘controleval.Rout’ to ‘controleval.Rout.save’ ... OK
  Running ‘doRUnit.R’ [1s/1s]
  Comparing ‘doRUnit.Rout’ to ‘doRUnit.Rout.save’ ...72c72
  < [1] "/home/hornik/tmp/R.check/r-patched-ng/Work/PKGS/bbmle.Rcheck/tests"
  ---
  > [1] "/mnt/hgfs/bolker/Documents/R/pkgs/bbmle/pkg/tests"
  75c75
  < [1] "/tmp/RtmpCk9Aw6/RLIBS_36174545dc83/bbmle/unitTests"
  ---
  > [1] "/mnt/hgfs/bolker/Documents/LOCAL/lib/R/site-library/bbmle/unitTests"
  79c79
  < RUNIT TEST PROTOCOL -- Sat May 18 12:04:29 2013
  ---
  > RUNIT TEST PROTOCOL -- Sun Jul 29 14:00:37 2012
  Running ‘eval.R’ [1s/1s]
  Comparing ‘eval.Rout’ to ‘eval.Rout.save’ ... OK
  Running ‘formulatest.R’ [2s/2s]
  Comparing ‘formulatest.Rout’ to ‘formulatest.Rout.save’ ...15c15
  < 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797540562, :
  ---
  > 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797530336, :
  17c17
  < 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275658228, :
  ---
  > 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275647578, :
  22c22
  < 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(30.4960429002996, :
  ---
  > 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(30.4960310771523, :
  24c24
  < 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2466899046504, :
  ---
  > 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.246672169881, :
  26c26
  < 3: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(35.9973369090013, :
  ---
  > 3: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(35.9973132626097, :
  28c28
  < 4: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(38.7479839133521, :
  ---
  > 4: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(38.7479543553384, :
  30c30
  < 5: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(41.498630917703, :
  ---
  > 5: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(41.4985954480671, :
  32c32
  < 6: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(41.498630917703, :
  ---
  > 6: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(41.4985954480671, :
  34c34
  < 7: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(44.2492779220538, :
  ---
  > 7: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(44.2492365407958, :
  36c36
  < 8: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(44.2492779220538, :
  ---
  > 8: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(44.2492365407958, :
  42c42
  < 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797540562, :
  ---
  > 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797530336, :
  44c44
  < 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275658228, :
  ---
  > 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275647578, :
  98c98
  < 1: In dpois(x = c(16L, 8L, 6L, 6L, 8L, 0L, 2L, 3L, 5L, 3L, 1L, 5L, :
  ---
  > 1: In dpois(x = c(16, 8, 6, 6, 8, 0, 2, 3, 5, 3, 1, 5, 3, 2, 5, 1, :
  100c100
  < 2: In dpois(x = c(16L, 8L, 6L, 6L, 8L, 0L, 2L, 3L, 5L, 3L, 1L, 5L, :
  ---
  > 2: In dpois(x = c(16, 8, 6, 6, 8, 0, 2, 3, 5, 3, 1, 5, 3, 2, 5, 1, :
  Running ‘glmcomp.R’ [1s/1s]
  Comparing ‘glmcomp.Rout’ to ‘glmcomp.Rout.save’ ...18c18
  < -1.354668e-09
  ---
  > -2.709339e-10
  20c20
  < 'log Lik.' 1.421085e-14 (df=1)
  ---
  > 'log Lik.' 7.105427e-15 (df=1)
  31c31
  < [7] -0.7491345 -1.0434374 -1.9263460 -2.2206488 -1.0434374
  ---
  > [7] -0.7491346 -1.0434374 -1.9263460 -2.2206488 -1.0434374
  Running ‘gradient_vecpar_profile.R’ [1s/1s]
  Comparing ‘gradient_vecpar_profile.Rout’ to ‘gradient_vecpar_profile.Rout.save’ ... OK
  Running ‘grtest1.R’ [0s/0s]
  Comparing ‘grtest1.Rout’ to ‘grtest1.Rout.save’ ...15c15
  < 1.090239e-13 1.000000e+00
  ---
  > 1.092459e-13 1.000000e+00
  Running ‘methods.R’ [1s/1s]
  Comparing ‘methods.Rout’ to ‘methods.Rout.save’ ...19c19
  < [7] -0.7491345 -1.0434374 -1.9263460 -2.2206488 -1.0434374
  ---
  > [7] -0.7491346 -1.0434374 -1.9263460 -2.2206488 -1.0434374
  Running ‘mortanal.R’ [1s/1s]
  Comparing ‘mortanal.Rout’ to ‘mortanal.Rout.save’ ... OK
  Running ‘optimize.R’ [1s/1s]
  Comparing ‘optimize.Rout’ to ‘optimize.Rout.save’ ... OK
  Running ‘optimizers.R’ [1s/1s]
  Comparing ‘optimizers.Rout’ to ‘optimizers.Rout.save’ ...13c13
  < 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(31.4659916367342, :
  ---
  > 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(31.4659916032255, :
  Running ‘optimx.R’ [4s/4s]
  Comparing ‘optimx.Rout’ to ‘optimx.Rout.save’ ...16c16,36
  < There were 11 warnings (use warnings() to see them)
  ---
  >
  > Attaching package: 'Rcgmin'
  >
  > The following object(s) are masked from 'package:optimx':
  >
  > optansout
  >
  >
  > Attaching package: 'Rvmmin'
  >
  > The following object(s) are masked from 'package:Rcgmin':
  >
  > optansout
  >
  > The following object(s) are masked from 'package:optimx':
  >
  > optansout
  >
  > Warning message:
  > In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(37.7033783803611, :
  > NaNs produced
  18,20d37
  < > ## FIXME!! fails (although not with an error, because
  < > ## errors are caught by profiling) due to npar now
  < > ## being restricted to >1 in optimx 2012.05.24 ...
  26,29c43,46
  < 1 -3.3769595 13.992604 9.990240
  < 2 -2.3408105 16.743630 6.538601
  < 3 -1.4582079 19.494656 4.793141
  < 4 -0.6872020 22.245682 3.747887
  ---
  > 1 -3.3769529 13.992620 9.990210
  > 2 -2.3408063 16.743642 6.538591
  > 3 -1.4582055 19.494664 4.793137
  > 4 -0.6872010 22.245686 3.747885
  31,37c48,54
  < 6 0.6199922 27.747734 2.567514
  < 7 1.1878573 30.498760 2.205221
  < 8 1.7126030 33.249786 1.926961
  < 9 2.2014985 36.000812 1.707196
  < 10 2.6601415 38.751839 1.529683
  < 11 3.0929245 41.502865 1.383619
  < 12 3.5033512 44.253891 1.261548
  ---
  > 6 0.6199914 27.747730 2.567515
  > 7 1.1878557 30.498752 2.205222
  > 8 1.7126008 33.249774 1.926962
  > 9 2.2014957 36.000796 1.707197
  > 10 2.6601382 38.751818 1.529684
  > 11 3.0929208 41.502840 1.383620
  > 12 3.5033471 44.253863 1.261549
  41,45c58,62
  < 1 -3.6930686 41.342754 1.035623
  < 2 -2.6386115 36.082841 1.372416
  < 3 -1.8618297 32.494510 1.709210
  < 4 -1.2549256 29.876418 2.046003
  < 5 -0.7619506 27.873802 2.382796
  ---
  > 1 -3.6930563 41.342691 1.035627
  > 2 -2.6386042 36.082806 1.372419
  > 3 -1.8618252 32.494490 1.709212
  > 4 -1.2549229 29.876407 2.046004
  > 5 -0.7619491 27.873796 2.382797
  47,61c64,78
  < 7 0.5712035 23.018946 3.729968
  < 8 1.0191671 21.567785 4.403554
  < 9 1.3826771 20.454242 5.077140
  < 10 1.6849402 19.570757 5.750726
  < 11 1.9410491 18.851518 6.424312
  < 12 2.1613333 18.253877 7.097898
  < 13 2.3531475 17.748924 7.771484
  < 14 2.5218967 17.316327 8.445070
  < 15 2.6716577 16.941353 9.118656
  < 16 2.8055726 16.613055 9.792242
  < 17 2.9261080 16.323116 10.465828
  < 18 3.0352309 16.065103 11.139414
  < 19 3.1345319 15.833957 11.813000
  < 20 3.2253126 15.625642 12.486586
  < 21 3.3086496 15.436902 13.160172
  ---
  > 7 0.5712027 23.018949 3.729967
  > 8 1.0191658 21.567789 4.403552
  > 9 1.3826755 20.454247 5.077137
  > 10 1.6849383 19.570763 5.750721
  > 11 1.9410472 18.851524 6.424306
  > 12 2.1613313 18.253883 7.097891
  > 13 2.3531454 17.748929 7.771476
  > 14 2.5218946 17.316332 8.445061
  > 15 2.6716557 16.941359 9.118646
  > 16 2.8055706 16.613060 9.792231
  > 17 2.9261059 16.323121 10.465816
  > 18 3.0352289 16.065108 11.139401
  > 19 3.1345299 15.833962 11.812986
  > 20 3.2253106 15.625647 12.486571
  > 21 3.3086476 15.436906 13.160156
  63c80
  < There were 50 or more warnings (use warnings() to see the first 50)
  ---
  > There were 14 warnings (use warnings() to see them)
  Running ‘order.R’ [1s/1s]
  Comparing ‘order.Rout’ to ‘order.Rout.save’ ... OK
  Running ‘parscale.R’ [1s/1s]
  Comparing ‘parscale.Rout’ to ‘parscale.Rout.save’ ...44a45
  > iter 0 value 12490.509482
  49c50
  < rate 1.045665e-11
  ---
  > rate 1.045669e-11
  101c102
  < one-dimensional optimization by Nelder-Mead is unreliable:
  ---
  > one-diml optimization by Nelder-Mead is unreliable:
  105c106
  < rate 1.046425e-11
  ---
  > rate 1.046414e-11
  112c113
  < 9.595473e-05 1.086351e-04
  ---
  > 9.595477e-05 1.086351e-04
  146c147
  < rate 1.407192e-11
  ---
  > rate 1.407176e-11
  Running ‘predict.R’ [1s/1s]
  Comparing ‘predict.Rout’ to ‘predict.Rout.save’ ... OK
  Running ‘profbound.R’ [1s/1s]
  Comparing ‘profbound.Rout’ to ‘profbound.Rout.save’ ...19c19
  < a 2.814052 3.35794623
  ---
  > a 2.814052 3.35794624
  Running ‘richards.R’ [6s/6s]
  Comparing ‘richards.Rout’ to ‘richards.Rout.save’ ... OK
  Running ‘startvals.R’ [1s/1s]
  Comparing ‘startvals.Rout’ to ‘startvals.Rout.save’ ... OK
  Running ‘startvals2.R’ [1s/1s]
  Comparing ‘startvals2.Rout’ to ‘startvals2.Rout.save’ ... OK
  Running ‘test-relist1.R’ [1s/1s]
  Comparing ‘test-relist1.Rout’ to ‘test-relist1.Rout.save’ ... OK
  Running ‘testbounds.R’ [1s/1s]
  Comparing ‘testbounds.Rout’ to ‘testbounds.Rout.save’ ... OK
  Running ‘testderiv.R’ [1s/1s]
  Comparing ‘testderiv.Rout’ to ‘testderiv.Rout.save’ ...32c32
  < 1: In dbinom(x = c(7L, 4L, 4L, 4L, 4L, 6L, 1L, 2L, 3L, 5L, 4L, 2L, :
  ---
  > 1: In dbinom(x = c(7, 4, 4, 4, 4, 6, 1, 2, 3, 5, 4, 2, 6, 4, 3, 6, :
  34c34
  < 2: In dbinom(x = c(7L, 4L, 4L, 4L, 4L, 6L, 1L, 2L, 3L, 5L, 4L, 2L, :
  ---
  > 2: In dbinom(x = c(7, 4, 4, 4, 4, 6, 1, 2, 3, 5, 4, 2, 6, 4, 3, 6, :
  36c36
  < 3: In dbinom(x = c(7L, 4L, 4L, 4L, 4L, 6L, 1L, 2L, 3L, 5L, 4L, 2L, :
  ---
  > 3: In dbinom(x = c(7, 4, 4, 4, 4, 6, 1, 2, 3, 5, 4, 2, 6, 4, 3, 6, :
  38c38
  < 4: In dbinom(x = c(7L, 4L, 4L, 4L, 4L, 6L, 1L, 2L, 3L, 5L, 4L, 2L, :
  ---
  > 4: In dbinom(x = c(7, 4, 4, 4, 4, 6, 1, 2, 3, 5, 4, 2, 6, 4, 3, 6, :
  Running ‘testenv.R’ [1s/1s]
  Comparing ‘testenv.Rout’ to ‘testenv.Rout.save’ ...21,26c21,26
  < 1 -5.4686715 2.5585125 27.2089012
  < 2 -3.2038301 2.6685692 2.2247873
  < 3 -2.5686060 2.7786259 1.9643696
  < 4 -1.9314577 2.8886826 1.7291893
  < 5 -1.2916426 2.9987393 1.5123047
  < 6 -0.6482126 3.1087960 1.3092610
  ---
  > 1 -5.4686774 2.5585146 27.2088421
  > 2 -3.2038200 2.6685710 2.2247829
  > 3 -2.5685978 2.7786273 1.9643664
  > 4 -1.9314516 2.8886836 1.7291871
  > 5 -1.2916385 2.9987400 1.5123034
  > 6 -0.6482105 3.1087963 1.3092604
  28,32c28,32
  < 8 0.6543908 3.3289094 0.9335200
  < 9 1.3165901 3.4389660 0.7571495
  < 10 1.9884556 3.5490227 0.5870933
  < 11 2.6720631 3.6590794 0.4223483
  < 12 3.3696881 3.7691361 0.2626576
  ---
  > 8 0.6543886 3.3289090 0.9335206
  > 9 1.3165858 3.4389653 0.7571506
  > 10 1.9884490 3.5490217 0.5870949
  > 11 2.6720542 3.6590780 0.4223504
  > 12 3.3696768 3.7691343 0.2626602
  36,40c36,40
  < 1 -3.7697981 3.73162778 0.01516639
  < 2 -2.9354303 3.62491273 0.23554003
  < 3 -2.1408129 3.51907972 0.45591368
  < 4 -1.3862373 3.41538652 0.67628733
  < 5 -0.6722988 3.31497396 0.89666097
  ---
  > 1 -3.7697805 3.73162558 0.01517093
  > 2 -2.9354168 3.62491097 0.23554367
  > 3 -2.1408033 3.51907842 0.45591641
  > 4 -1.3862312 3.41538568 0.67628915
  > 5 -0.6722959 3.31497356 0.89666188
  42,48c42,48
  < 7 0.6292999 3.12788864 1.33740827
  < 8 1.2140464 3.04279596 1.55778191
  < 9 1.7527507 2.96412468 1.77815556
  < 10 2.2442653 2.89224839 1.99852921
  < 11 2.6880438 2.82736253 2.21890285
  < 12 3.0843314 2.76948254 2.43927650
  < 13 3.4342608 2.71845380 2.65965015
  ---
  > 7 0.6292974 3.12788901 1.33740736
  > 8 1.2140418 3.04279663 1.55778009
  > 9 1.7527443 2.96412561 1.77815283
  > 10 2.2442576 2.89224952 1.99852557
  > 11 2.6880351 2.82736380 2.21889831
  > 12 3.0843222 2.76948388 2.43927104
  > 13 3.4342513 2.71845517 2.65964378
  Running ‘testparpred.R’ [1s/1s]
  Comparing ‘testparpred.Rout’ to ‘testparpred.Rout.save’ ... OK
  Running ‘tmptest.R’ [0s/0s]
  Comparing ‘tmptest.Rout’ to ‘tmptest.Rout.save’ ... OK
  Running ‘update.R’ [1s/1s]
  Comparing ‘update.Rout’ to ‘update.Rout.save’ ...11c11
  < 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797540562, :
  ---
  > 1: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(15.9069797530336, :
  13c13
  < 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275658228, :
  ---
  > 2: In dpois(x = c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8), lambda = c(33.2333275647578, :
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes in ‘inst/doc’ ... OK
• checking running R code from vignettes ... [16s/16s] OK
• checking re-building of vignette PDFs ... [16s/16s] OK
• checking PDF version of manual ... OK