R Under development (unstable) (2025-01-21 r87610 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cat("# ee test\n") # ee test > library("qgcomp") > library("tibble") > > # grouped survival data > N = 250 > t = 4 > dat <- data.frame(row.names = 1:(N*t)) > dat <- within(dat, { + group = do.call("c", lapply(1:N, function(x) rep(x, t))) + age = do.call("c", lapply(1:N, function(x) 1:t)) + u = do.call("c", lapply(1:N, function(x) rep(runif(1), t))) + x1 = rnorm(N, u) + x2 = do.call("c", lapply(1:N, function(x) rep(sample(0:3,1), t))) + time = runif(N*t, 20, 200) + logtime = log(time) + lograte = -5 + x1 + deaths = rpois(N, exp(log(time) + lograte)) + }) > > #checknames = qgcomp:::checknames > #.qgcomp_object = qgcomp:::.qgcomp_object > > res = qgcomp.glm.ee(f=deaths~x1 + x2 + I(x2^2)+ I(x1^2), offset="logtime", expnms=c("x1", "x2"), data = dat, family=poisson(), q=7) # offset not working > res2 = qgcomp.glm.ee(f=deaths~x1 + x2 + I(x2^2)+ I(x1^2), offset="logtime", expnms=c("x1", "x2"), data = as_tibble(dat), family=poisson(), q=7) # offset not working > res3 = qgcomp.glm.ee(f=deaths~x1 + x2 + I(x2^2)+ I(x1^2), offset="logtime", expnms=c("x1", "x2"), data = dat, family=gaussian(), q=7) # offset not working > #res3 = qgcomp.glm.ee(f=deaths~x1 + x2 + I(x2^2)+ I(x1^2), offset="logtime", expnms=c("x1", "x2"), data = dat, family=tobit(), q=7) # offset not working > > > pointwisebound.noboot(res) quantile quantile.midpoint linpred rr se.lnrr ll.rr 1 0 0.07142857 -3.7850660 1.000000 0.0000000 1.000000 2 1 0.21428571 -2.3287417 4.290161 0.1329973 3.305721 3 2 0.35714286 -0.8724173 18.405485 0.2659945 10.927790 4 3 0.50000000 0.5839071 78.962505 0.3989918 36.124222 5 4 0.64285714 2.0402314 338.761895 0.5319890 119.416592 6 5 0.78571429 3.4965558 1453.343233 0.6649863 394.757911 7 6 0.92857143 4.9528802 6235.077146 0.7979835 1304.959433 ul.rr ll.linpred ul.linpred 1 1.000000 -3.7850660 -3.7850660 2 5.567768 -2.5894115 -2.0680718 3 31.000037 -1.3937570 -0.3510776 4 172.601007 -0.1981024 1.3659166 5 961.002316 0.9975521 3.0829108 6 5350.637672 2.1932066 4.7999050 7 29791.107697 3.3888612 6.5168992 > plot(res, modelband = FALSE, pointwisebars = FALSE, flexfit = TRUE) > print(res) Mixture log(RR) (robust CI): Estimate Std. Error Lower CI Upper CI Z value Pr(>|z|) (Intercept) -3.7851 1.9509 -7.60875 0.038619 -1.9402 0.05236 psi1 1.4563 0.5812 0.31719 2.595458 2.5057 0.01222 > summary(res) Mixture log(RR) (robust CI): $coefficients Estimate Std. Error Lower CI Upper CI Z value Pr(>|z|) (Intercept) -3.785066 1.9508958 -7.6087516 0.03861946 -1.940168 0.05235925 psi1 1.456324 0.5812013 0.3171908 2.59545798 2.505714 0.01222043 > print(res$fit) Estimate Std. Error Lower CI Upper CI Z value Pr(>|z|) (Intercept) -0.8028133 0.0944018 -0.9878374 -0.617789 -8.5042 < 2.2e-16 x1 0.3570949 0.0583674 0.2426969 0.471493 6.1181 9.472e-10 x2 -0.2686673 0.1215628 -0.5069259 -0.030409 -2.2101 0.02710 I(x2^2) 0.1368476 0.0607836 0.0177139 0.255981 2.2514 0.02436 I(x1^2) 0.0093195 0.0082567 -0.0068633 0.025502 1.1287 0.25902 > print(res$msmfit) Estimate Std. Error Lower CI Upper CI Z value Pr(>|z|) (Intercept) -3.7851 1.9509 -7.60875 0.038619 -1.9402 0.05236 psi1 1.4563 0.5812 0.31719 2.595458 2.5057 0.01222 > predict(res) [,1] 1 5.3401764 2 1.4224021 3 0.4480666 4 1.4224021 5 0.6463599 6 2.1698946 7 0.6463599 8 0.9499505 9 0.9499505 10 5.3401764 11 1.4224021 12 0.9499505 13 3.3724825 14 0.9499505 15 1.4224021 16 5.3401764 17 5.3401764 18 5.3401764 19 3.3724825 20 1.4224021 21 0.3927300 22 2.9559776 23 0.3927300 24 1.9019105 25 1.2467341 26 1.9019105 27 1.9019105 28 1.9019105 29 2.1918248 30 2.1918248 31 0.4525951 32 0.4525951 33 2.9559776 34 0.8326307 35 1.2467341 36 2.9559776 37 1.4367777 38 0.9595512 39 0.4525951 40 2.1918248 41 5.3941472 42 2.1918248 43 5.3941472 44 3.4065667 45 3.4065667 46 0.9595512 47 2.1918248 48 3.4065667 49 0.9595512 50 5.3941472 51 0.4525951 52 2.1918248 53 0.6528923 54 0.6528923 55 5.3941472 56 1.4367777 57 0.6463599 58 0.4480666 59 0.9499505 60 1.4224021 61 1.2467341 62 0.3927300 63 4.6806594 64 2.9559776 65 0.6528923 66 0.4525951 67 3.4065667 68 5.3941472 69 0.6463599 70 5.3401764 71 1.4224021 72 5.3401764 73 0.3927300 74 0.8326307 75 0.8326307 76 1.2467341 77 0.4480666 78 0.4480666 79 2.1698946 80 0.4480666 81 2.1698946 82 0.9499505 83 0.4480666 84 1.4224021 85 0.9499505 86 0.4480666 87 0.6463599 88 0.9499505 89 0.6528923 90 0.4525951 91 3.4065667 92 0.4525951 93 4.6806594 94 2.9559776 95 0.5665338 96 0.3927300 97 0.9595512 98 0.9595512 99 0.4525951 100 2.1918248 101 1.4224021 102 2.1698946 103 0.4480666 104 0.6463599 105 1.2467341 106 1.9019105 107 4.6806594 108 1.9019105 109 1.9019105 110 0.8326307 111 1.2467341 112 1.9019105 113 3.3724825 114 0.6463599 115 5.3401764 116 1.4224021 117 0.9499505 118 0.9499505 119 0.6463599 120 3.3724825 121 0.8326307 122 2.9559776 123 1.2467341 124 1.2467341 125 0.6528923 126 0.9595512 127 5.3941472 128 0.4525951 129 0.5665338 130 1.9019105 131 2.9559776 132 4.6806594 133 0.8326307 134 1.9019105 135 1.2467341 136 0.3927300 137 5.3941472 138 3.4065667 139 0.6528923 140 0.9595512 141 0.9595512 142 0.9595512 143 2.1918248 144 0.6528923 145 5.3401764 146 0.4480666 147 5.3401764 148 0.6463599 149 1.4367777 150 5.3941472 151 5.3941472 152 3.4065667 153 0.4480666 154 2.1698946 155 0.4480666 156 0.6463599 157 4.6806594 158 4.6806594 159 0.5665338 160 2.9559776 161 2.1918248 162 3.4065667 163 0.9595512 164 3.4065667 165 0.3927300 166 2.9559776 167 4.6806594 168 1.9019105 169 0.6528923 170 0.6528923 171 0.6528923 172 1.4367777 173 0.6463599 174 3.3724825 175 1.4224021 176 3.3724825 177 0.9595512 178 0.4525951 179 0.4525951 180 2.1918248 181 1.9019105 182 4.6806594 183 4.6806594 184 0.5665338 185 0.6463599 186 1.4224021 187 0.9499505 188 3.3724825 189 3.4065667 190 2.1918248 191 3.4065667 192 0.4525951 193 0.6463599 194 0.4480666 195 0.9499505 196 1.4224021 197 2.9559776 198 0.3927300 199 2.9559776 200 4.6806594 201 0.6463599 202 5.3401764 203 3.3724825 204 3.3724825 205 1.9019105 206 1.2467341 207 0.3927300 208 0.3927300 209 1.4224021 210 0.9499505 211 0.6463599 212 0.6463599 213 0.6463599 214 0.9499505 215 0.6463599 216 0.4480666 217 5.3401764 218 0.6463599 219 5.3401764 220 2.1698946 221 0.9499505 222 0.9499505 223 1.4224021 224 1.4224021 225 1.4224021 226 3.3724825 227 2.1698946 228 0.6463599 229 3.4065667 230 2.1918248 231 3.4065667 232 0.9595512 233 3.3724825 234 1.4224021 235 2.1698946 236 5.3401764 237 1.2467341 238 0.3927300 239 1.9019105 240 0.8326307 241 1.2467341 242 0.5665338 243 1.2467341 244 2.9559776 245 0.9595512 246 2.1918248 247 0.6528923 248 5.3941472 249 1.9019105 250 4.6806594 251 4.6806594 252 1.2467341 253 0.3927300 254 1.2467341 255 0.5665338 256 1.9019105 257 0.6463599 258 0.9499505 259 0.9499505 260 5.3401764 261 1.4367777 262 0.9595512 263 3.4065667 264 0.9595512 265 1.2467341 266 4.6806594 267 4.6806594 268 4.6806594 269 3.3724825 270 1.4224021 271 0.4480666 272 3.3724825 273 0.4480666 274 2.1698946 275 1.4224021 276 2.1698946 277 2.1698946 278 2.1698946 279 2.1698946 280 2.1698946 281 0.3927300 282 0.3927300 283 2.9559776 284 0.8326307 285 1.4224021 286 3.3724825 287 1.4224021 288 0.9499505 289 0.4480666 290 2.1698946 291 5.3401764 292 2.1698946 293 5.3401764 294 3.3724825 295 3.3724825 296 0.9499505 297 2.1698946 298 3.3724825 299 0.9499505 300 5.3401764 301 0.4525951 302 2.1918248 303 0.6528923 304 0.6528923 305 5.3401764 306 1.4224021 307 0.6463599 308 0.4480666 309 0.9499505 310 1.4224021 311 1.4224021 312 0.4480666 313 5.3941472 314 3.4065667 315 0.6528923 316 0.4525951 317 3.4065667 318 5.3941472 319 0.6528923 320 5.3941472 321 1.4224021 322 5.3401764 323 0.4480666 324 0.9499505 325 0.9595512 326 1.4367777 327 0.4525951 328 0.4525951 329 1.9019105 330 0.3927300 331 1.9019105 332 0.8326307 333 0.3927300 334 1.2467341 335 0.8326307 336 0.3927300 337 0.5665338 338 0.8326307 339 0.5665338 340 0.3927300 341 2.9559776 342 0.3927300 343 4.6806594 344 2.9559776 345 0.6528923 346 0.4525951 347 0.9595512 348 0.9595512 349 0.4525951 350 2.1918248 351 1.4367777 352 2.1918248 353 0.3927300 354 0.5665338 355 1.2467341 356 1.9019105 357 5.3401764 358 2.1698946 359 2.1698946 360 0.9499505 361 1.4224021 362 2.1698946 363 3.3724825 364 0.6463599 365 5.3401764 366 1.4224021 367 0.9499505 368 0.9499505 369 0.6528923 370 3.4065667 371 0.9595512 372 3.4065667 373 1.4367777 374 1.4367777 375 0.6528923 376 0.9595512 377 5.3401764 378 0.4480666 379 0.6463599 380 2.1698946 381 3.4065667 382 5.3941472 383 0.9595512 384 2.1918248 385 1.2467341 386 0.3927300 387 4.6806594 388 2.9559776 389 0.5665338 390 0.8326307 391 0.8326307 392 0.8326307 393 2.1698946 394 0.6463599 395 5.3401764 396 0.4480666 397 5.3941472 398 0.6528923 399 1.4367777 400 5.3941472 401 4.6806594 402 2.9559776 403 0.3927300 404 1.9019105 405 0.4480666 406 0.6463599 407 5.3401764 408 5.3401764 409 0.5665338 410 2.9559776 411 1.9019105 412 2.9559776 413 0.9499505 414 3.3724825 415 0.4480666 416 3.3724825 417 5.3401764 418 2.1698946 419 0.6463599 420 0.6463599 421 0.6528923 422 1.4367777 423 0.6528923 424 3.4065667 425 1.4367777 426 3.4065667 427 0.9595512 428 0.4525951 429 0.3927300 430 1.9019105 431 1.9019105 432 4.6806594 433 5.3941472 434 0.6528923 435 0.6528923 436 1.4367777 437 0.9499505 438 3.3724825 439 3.3724825 440 2.1698946 441 2.9559776 442 0.3927300 443 0.5665338 444 0.3927300 445 0.9595512 446 1.4367777 447 3.4065667 448 0.4525951 449 2.9559776 450 4.6806594 451 0.5665338 452 4.6806594 453 3.3724825 454 3.3724825 455 2.1698946 456 1.4224021 457 0.4480666 458 0.4480666 459 1.4224021 460 0.9499505 461 0.6463599 462 0.6463599 463 0.6463599 464 0.9499505 465 0.6463599 466 0.4480666 467 5.3401764 468 0.6463599 469 5.3941472 470 2.1918248 471 0.9595512 472 0.9595512 473 1.2467341 474 1.2467341 475 1.2467341 476 2.9559776 477 2.1918248 478 0.6528923 479 3.4065667 480 2.1918248 481 3.3724825 482 0.9499505 483 3.3724825 484 1.4224021 485 2.1918248 486 5.3941472 487 1.4367777 488 0.4525951 489 2.1698946 490 0.9499505 491 1.4224021 492 0.6463599 493 1.4224021 494 3.3724825 495 0.9499505 496 2.1698946 497 0.6463599 498 5.3401764 499 2.1698946 500 5.3401764 501 5.3401764 502 1.4224021 503 0.4480666 504 1.4224021 505 0.6463599 506 2.1698946 507 0.6463599 508 0.9499505 509 0.9499505 510 5.3401764 511 1.4224021 512 0.9499505 513 3.4065667 514 0.9595512 515 1.4367777 516 5.3941472 517 5.3401764 518 5.3401764 519 3.3724825 520 1.4224021 521 0.3927300 522 2.9559776 523 0.3927300 524 1.9019105 525 1.4224021 526 2.1698946 527 2.1698946 528 2.1698946 529 2.1698946 530 2.1698946 531 0.4480666 532 0.4480666 533 3.3724825 534 0.9499505 535 1.4224021 536 3.3724825 537 1.4224021 538 0.9499505 539 0.4480666 540 2.1698946 541 5.3941472 542 2.1918248 543 5.3941472 544 3.4065667 545 3.3724825 546 0.9499505 547 2.1698946 548 3.3724825 549 0.8326307 550 4.6806594 551 0.3927300 552 1.9019105 553 0.6463599 554 0.6463599 555 5.3401764 556 1.4224021 557 0.6528923 558 0.4525951 559 0.9595512 560 1.4367777 561 1.4224021 562 0.4480666 563 5.3401764 564 3.3724825 565 0.5665338 566 0.3927300 567 2.9559776 568 4.6806594 569 0.5665338 570 4.6806594 571 1.2467341 572 4.6806594 573 0.4480666 574 0.9499505 575 0.9499505 576 1.4224021 577 0.4480666 578 0.4480666 579 2.1698946 580 0.4480666 581 2.1698946 582 0.9499505 583 0.4480666 584 1.4224021 585 0.9499505 586 0.4480666 587 0.6463599 588 0.9499505 589 0.6528923 590 0.4525951 591 3.4065667 592 0.4525951 593 5.3401764 594 3.3724825 595 0.6463599 596 0.4480666 597 0.8326307 598 0.8326307 599 0.3927300 600 1.9019105 601 1.4224021 602 2.1698946 603 0.4480666 604 0.6463599 605 1.4367777 606 2.1918248 607 5.3941472 608 2.1918248 609 1.9019105 610 0.8326307 611 1.2467341 612 1.9019105 613 3.4065667 614 0.6528923 615 5.3941472 616 1.4367777 617 0.9499505 618 0.9499505 619 0.6463599 620 3.3724825 621 0.9499505 622 3.3724825 623 1.4224021 624 1.4224021 625 0.6463599 626 0.9499505 627 5.3401764 628 0.4480666 629 0.5665338 630 1.9019105 631 2.9559776 632 4.6806594 633 0.9499505 634 2.1698946 635 1.4224021 636 0.4480666 637 4.6806594 638 2.9559776 639 0.5665338 640 0.8326307 641 0.8326307 642 0.8326307 643 1.9019105 644 0.5665338 645 5.3941472 646 0.4525951 647 5.3941472 648 0.6528923 649 1.2467341 650 4.6806594 651 4.6806594 652 2.9559776 653 0.4525951 654 2.1918248 655 0.4525951 656 0.6528923 657 5.3941472 658 5.3941472 659 0.6528923 660 3.4065667 661 1.9019105 662 2.9559776 663 0.8326307 664 2.9559776 665 0.3927300 666 2.9559776 667 4.6806594 668 1.9019105 669 0.6463599 670 0.6463599 671 0.6463599 672 1.4224021 673 0.6463599 674 3.3724825 675 1.4224021 676 3.3724825 677 0.9499505 678 0.4480666 679 0.4480666 680 2.1698946 681 2.1698946 682 5.3401764 683 5.3401764 684 0.6463599 685 0.6463599 686 1.4224021 687 0.9499505 688 3.3724825 689 3.4065667 690 2.1918248 691 3.4065667 692 0.4525951 693 0.5665338 694 0.3927300 695 0.8326307 696 1.2467341 697 2.9559776 698 0.3927300 699 2.9559776 700 4.6806594 701 0.6463599 702 5.3401764 703 3.3724825 704 3.3724825 705 1.9019105 706 1.2467341 707 0.3927300 708 0.3927300 709 1.4224021 710 0.9499505 711 0.6463599 712 0.6463599 713 0.6528923 714 0.9595512 715 0.6528923 716 0.4525951 717 5.3941472 718 0.6528923 719 5.3941472 720 2.1918248 721 0.9595512 722 0.9595512 723 1.4367777 724 1.4367777 725 1.2467341 726 2.9559776 727 1.9019105 728 0.5665338 729 3.3724825 730 2.1698946 731 3.3724825 732 0.9499505 733 3.3724825 734 1.4224021 735 2.1698946 736 5.3401764 737 1.2467341 738 0.3927300 739 1.9019105 740 0.8326307 741 1.4224021 742 0.6463599 743 1.4224021 744 3.3724825 745 0.9595512 746 2.1918248 747 0.6528923 748 5.3941472 749 2.1698946 750 5.3401764 751 5.3401764 752 1.4224021 753 0.4480666 754 1.4224021 755 0.6463599 756 2.1698946 757 0.6463599 758 0.9499505 759 0.9499505 760 5.3401764 761 1.4224021 762 0.9499505 763 3.3724825 764 0.9499505 765 1.4224021 766 5.3401764 767 5.3401764 768 5.3401764 769 3.4065667 770 1.4367777 771 0.4525951 772 3.4065667 773 0.3927300 774 1.9019105 775 1.2467341 776 1.9019105 777 2.1918248 778 2.1918248 779 2.1918248 780 2.1918248 781 0.4480666 782 0.4480666 783 3.3724825 784 0.9499505 785 1.4367777 786 3.4065667 787 1.4367777 788 0.9595512 789 0.4525951 790 2.1918248 791 5.3941472 792 2.1918248 793 4.6806594 794 2.9559776 795 2.9559776 796 0.8326307 797 2.1918248 798 3.4065667 799 0.9595512 800 5.3941472 801 0.4525951 802 2.1918248 803 0.6528923 804 0.6528923 805 5.3401764 806 1.4224021 807 0.6463599 808 0.4480666 809 0.9499505 810 1.4224021 811 1.4224021 812 0.4480666 813 4.6806594 814 2.9559776 815 0.5665338 816 0.3927300 817 3.3724825 818 5.3401764 819 0.6463599 820 5.3401764 821 1.4224021 822 5.3401764 823 0.4480666 824 0.9499505 825 0.9499505 826 1.4224021 827 0.4480666 828 0.4480666 829 2.1918248 830 0.4525951 831 2.1918248 832 0.9595512 833 0.4480666 834 1.4224021 835 0.9499505 836 0.4480666 837 0.5665338 838 0.8326307 839 0.5665338 840 0.3927300 841 2.9559776 842 0.3927300 843 4.6806594 844 2.9559776 845 0.6463599 846 0.4480666 847 0.9499505 848 0.9499505 849 0.3927300 850 1.9019105 851 1.2467341 852 1.9019105 853 0.3927300 854 0.5665338 855 1.2467341 856 1.9019105 857 5.3941472 858 2.1918248 859 2.1918248 860 0.9595512 861 1.4224021 862 2.1698946 863 3.3724825 864 0.6463599 865 5.3941472 866 1.4367777 867 0.9595512 868 0.9595512 869 0.6528923 870 3.4065667 871 0.9595512 872 3.4065667 873 1.4224021 874 1.4224021 875 0.6463599 876 0.9499505 877 5.3401764 878 0.4480666 879 0.6463599 880 2.1698946 881 3.3724825 882 5.3401764 883 0.9499505 884 2.1698946 885 1.4224021 886 0.4480666 887 5.3401764 888 3.3724825 889 0.5665338 890 0.8326307 891 0.8326307 892 0.8326307 893 2.1918248 894 0.6528923 895 5.3941472 896 0.4525951 897 5.3401764 898 0.6463599 899 1.4224021 900 5.3401764 901 5.3401764 902 3.3724825 903 0.4480666 904 2.1698946 905 0.4480666 906 0.6463599 907 5.3401764 908 5.3401764 909 0.5665338 910 2.9559776 911 1.9019105 912 2.9559776 913 0.8326307 914 2.9559776 915 0.3927300 916 2.9559776 917 5.3401764 918 2.1698946 919 0.6463599 920 0.6463599 921 0.6463599 922 1.4224021 923 0.6463599 924 3.3724825 925 1.4224021 926 3.3724825 927 0.9499505 928 0.4480666 929 0.3927300 930 1.9019105 931 1.9019105 932 4.6806594 933 5.3941472 934 0.6528923 935 0.6528923 936 1.4367777 937 0.9595512 938 3.4065667 939 3.4065667 940 2.1918248 941 3.3724825 942 0.4480666 943 0.6463599 944 0.4480666 945 0.8326307 946 1.2467341 947 2.9559776 948 0.3927300 949 2.9559776 950 4.6806594 951 0.5665338 952 4.6806594 953 2.9559776 954 2.9559776 955 1.9019105 956 1.2467341 957 0.3927300 958 0.3927300 959 1.2467341 960 0.8326307 961 0.6463599 962 0.6463599 963 0.6463599 964 0.9499505 965 0.6463599 966 0.4480666 967 5.3401764 968 0.6463599 969 4.6806594 970 1.9019105 971 0.8326307 972 0.8326307 973 1.4224021 974 1.4224021 975 1.4224021 976 3.3724825 977 1.9019105 978 0.5665338 979 2.9559776 980 1.9019105 981 3.3724825 982 0.9499505 983 3.3724825 984 1.4224021 985 2.1698946 986 5.3401764 987 1.4224021 988 0.4480666 989 1.9019105 990 0.8326307 991 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141.58215974 6569 141.58215974 6570 141.58215974 6571 141.58215974 6572 141.58215974 6573 141.58215974 6574 141.58215974 6575 141.58215974 6576 141.58215974 6577 141.58215974 6578 141.58215974 6579 141.58215974 6580 141.58215974 6581 141.58215974 6582 141.58215974 6583 141.58215974 6584 141.58215974 6585 141.58215974 6586 141.58215974 6587 141.58215974 6588 141.58215974 6589 141.58215974 6590 141.58215974 6591 141.58215974 6592 141.58215974 6593 141.58215974 6594 141.58215974 6595 141.58215974 6596 141.58215974 6597 141.58215974 6598 141.58215974 6599 141.58215974 6600 141.58215974 6601 141.58215974 6602 141.58215974 6603 141.58215974 6604 141.58215974 6605 141.58215974 6606 141.58215974 6607 141.58215974 6608 141.58215974 6609 141.58215974 6610 141.58215974 6611 141.58215974 6612 141.58215974 6613 141.58215974 6614 141.58215974 6615 141.58215974 6616 141.58215974 6617 141.58215974 6618 141.58215974 6619 141.58215974 6620 141.58215974 6621 141.58215974 6622 141.58215974 6623 141.58215974 6624 141.58215974 6625 141.58215974 6626 141.58215974 6627 141.58215974 6628 141.58215974 6629 141.58215974 6630 141.58215974 6631 141.58215974 6632 141.58215974 6633 141.58215974 6634 141.58215974 6635 141.58215974 6636 141.58215974 6637 141.58215974 6638 141.58215974 6639 141.58215974 6640 141.58215974 6641 141.58215974 6642 141.58215974 6643 141.58215974 6644 141.58215974 6645 141.58215974 6646 141.58215974 6647 141.58215974 6648 141.58215974 6649 141.58215974 6650 141.58215974 6651 141.58215974 6652 141.58215974 6653 141.58215974 6654 141.58215974 6655 141.58215974 6656 141.58215974 6657 141.58215974 6658 141.58215974 6659 141.58215974 6660 141.58215974 6661 141.58215974 6662 141.58215974 6663 141.58215974 6664 141.58215974 6665 141.58215974 6666 141.58215974 6667 141.58215974 6668 141.58215974 6669 141.58215974 6670 141.58215974 6671 141.58215974 6672 141.58215974 6673 141.58215974 6674 141.58215974 6675 141.58215974 6676 141.58215974 6677 141.58215974 6678 141.58215974 6679 141.58215974 6680 141.58215974 6681 141.58215974 6682 141.58215974 6683 141.58215974 6684 141.58215974 6685 141.58215974 6686 141.58215974 6687 141.58215974 6688 141.58215974 6689 141.58215974 6690 141.58215974 6691 141.58215974 6692 141.58215974 6693 141.58215974 6694 141.58215974 6695 141.58215974 6696 141.58215974 6697 141.58215974 6698 141.58215974 6699 141.58215974 6700 141.58215974 6701 141.58215974 6702 141.58215974 6703 141.58215974 6704 141.58215974 6705 141.58215974 6706 141.58215974 6707 141.58215974 6708 141.58215974 6709 141.58215974 6710 141.58215974 6711 141.58215974 6712 141.58215974 6713 141.58215974 6714 141.58215974 6715 141.58215974 6716 141.58215974 6717 141.58215974 6718 141.58215974 6719 141.58215974 6720 141.58215974 6721 141.58215974 6722 141.58215974 6723 141.58215974 6724 141.58215974 6725 141.58215974 6726 141.58215974 6727 141.58215974 6728 141.58215974 6729 141.58215974 6730 141.58215974 6731 141.58215974 6732 141.58215974 6733 141.58215974 6734 141.58215974 6735 141.58215974 6736 141.58215974 6737 141.58215974 6738 141.58215974 6739 141.58215974 6740 141.58215974 6741 141.58215974 6742 141.58215974 6743 141.58215974 6744 141.58215974 6745 141.58215974 6746 141.58215974 6747 141.58215974 6748 141.58215974 6749 141.58215974 6750 141.58215974 6751 141.58215974 6752 141.58215974 6753 141.58215974 6754 141.58215974 6755 141.58215974 6756 141.58215974 6757 141.58215974 6758 141.58215974 6759 141.58215974 6760 141.58215974 6761 141.58215974 6762 141.58215974 6763 141.58215974 6764 141.58215974 6765 141.58215974 6766 141.58215974 6767 141.58215974 6768 141.58215974 6769 141.58215974 6770 141.58215974 6771 141.58215974 6772 141.58215974 6773 141.58215974 6774 141.58215974 6775 141.58215974 6776 141.58215974 6777 141.58215974 6778 141.58215974 6779 141.58215974 6780 141.58215974 6781 141.58215974 6782 141.58215974 6783 141.58215974 6784 141.58215974 6785 141.58215974 6786 141.58215974 6787 141.58215974 6788 141.58215974 6789 141.58215974 6790 141.58215974 6791 141.58215974 6792 141.58215974 6793 141.58215974 6794 141.58215974 6795 141.58215974 6796 141.58215974 6797 141.58215974 6798 141.58215974 6799 141.58215974 6800 141.58215974 6801 141.58215974 6802 141.58215974 6803 141.58215974 6804 141.58215974 6805 141.58215974 6806 141.58215974 6807 141.58215974 6808 141.58215974 6809 141.58215974 6810 141.58215974 6811 141.58215974 6812 141.58215974 6813 141.58215974 6814 141.58215974 6815 141.58215974 6816 141.58215974 6817 141.58215974 6818 141.58215974 6819 141.58215974 6820 141.58215974 6821 141.58215974 6822 141.58215974 6823 141.58215974 6824 141.58215974 6825 141.58215974 6826 141.58215974 6827 141.58215974 6828 141.58215974 6829 141.58215974 6830 141.58215974 6831 141.58215974 6832 141.58215974 6833 141.58215974 6834 141.58215974 6835 141.58215974 6836 141.58215974 6837 141.58215974 6838 141.58215974 6839 141.58215974 6840 141.58215974 6841 141.58215974 6842 141.58215974 6843 141.58215974 6844 141.58215974 6845 141.58215974 6846 141.58215974 6847 141.58215974 6848 141.58215974 6849 141.58215974 6850 141.58215974 6851 141.58215974 6852 141.58215974 6853 141.58215974 6854 141.58215974 6855 141.58215974 6856 141.58215974 6857 141.58215974 6858 141.58215974 6859 141.58215974 6860 141.58215974 6861 141.58215974 6862 141.58215974 6863 141.58215974 6864 141.58215974 6865 141.58215974 6866 141.58215974 6867 141.58215974 6868 141.58215974 6869 141.58215974 6870 141.58215974 6871 141.58215974 6872 141.58215974 6873 141.58215974 6874 141.58215974 6875 141.58215974 6876 141.58215974 6877 141.58215974 6878 141.58215974 6879 141.58215974 6880 141.58215974 6881 141.58215974 6882 141.58215974 6883 141.58215974 6884 141.58215974 6885 141.58215974 6886 141.58215974 6887 141.58215974 6888 141.58215974 6889 141.58215974 6890 141.58215974 6891 141.58215974 6892 141.58215974 6893 141.58215974 6894 141.58215974 6895 141.58215974 6896 141.58215974 6897 141.58215974 6898 141.58215974 6899 141.58215974 6900 141.58215974 6901 141.58215974 6902 141.58215974 6903 141.58215974 6904 141.58215974 6905 141.58215974 6906 141.58215974 6907 141.58215974 6908 141.58215974 6909 141.58215974 6910 141.58215974 6911 141.58215974 6912 141.58215974 6913 141.58215974 6914 141.58215974 6915 141.58215974 6916 141.58215974 6917 141.58215974 6918 141.58215974 6919 141.58215974 6920 141.58215974 6921 141.58215974 6922 141.58215974 6923 141.58215974 6924 141.58215974 6925 141.58215974 6926 141.58215974 6927 141.58215974 6928 141.58215974 6929 141.58215974 6930 141.58215974 6931 141.58215974 6932 141.58215974 6933 141.58215974 6934 141.58215974 6935 141.58215974 6936 141.58215974 6937 141.58215974 6938 141.58215974 6939 141.58215974 6940 141.58215974 6941 141.58215974 6942 141.58215974 6943 141.58215974 6944 141.58215974 6945 141.58215974 6946 141.58215974 6947 141.58215974 6948 141.58215974 6949 141.58215974 6950 141.58215974 6951 141.58215974 6952 141.58215974 6953 141.58215974 6954 141.58215974 6955 141.58215974 6956 141.58215974 6957 141.58215974 6958 141.58215974 6959 141.58215974 6960 141.58215974 6961 141.58215974 6962 141.58215974 6963 141.58215974 6964 141.58215974 6965 141.58215974 6966 141.58215974 6967 141.58215974 6968 141.58215974 6969 141.58215974 6970 141.58215974 6971 141.58215974 6972 141.58215974 6973 141.58215974 6974 141.58215974 6975 141.58215974 6976 141.58215974 6977 141.58215974 6978 141.58215974 6979 141.58215974 6980 141.58215974 6981 141.58215974 6982 141.58215974 6983 141.58215974 6984 141.58215974 6985 141.58215974 6986 141.58215974 6987 141.58215974 6988 141.58215974 6989 141.58215974 6990 141.58215974 6991 141.58215974 6992 141.58215974 6993 141.58215974 6994 141.58215974 6995 141.58215974 6996 141.58215974 6997 141.58215974 6998 141.58215974 6999 141.58215974 7000 141.58215974 > summary(glm(deaths ~ x2, data = dat, family=poisson(), offset = logtime))$coefficients Estimate Std. Error z value Pr(>|z|) (Intercept) -4.08714981 0.03910869 -104.507462 0.0000000 x2 0.02484267 0.02010053 1.235921 0.2164879 > > res = qgcomp.noboot(deaths~x2 + offset(logtime), expnms="x2", data = dat, family=poisson(), q=NULL) > rr = qgcomp.noboot(deaths~x2, expnms="x2", data = dat, family=poisson(), q=NULL) > res = qgcomp.glm.ee(deaths~x2, offset="logtime", expnms=c("x2"), data = dat, family=poisson(), q=NULL) # not working Note: using all possible values of exposure as the intervention values > rr = qgcomp.noboot(deaths~x2+x1, expnms=c('x1', "x2"), data = dat, family=poisson(), q=NULL) > #res2 = qgcomp.glm.ee(deaths~x2, offset="logtime", expnms=c("x2"), data = dat, family=poisson(), q=4) # not working > res2 = qgcomp.glm.ee(deaths~x2+x1, expnms=c('x1', "x2"), data = dat, family=poisson(), q=NULL) Note: using quantiles of all exposures combined in order to set proposed intervention values for overall effect (25th, 50th, 75th %ile) You can ensure this is valid by scaling all variables in expnms to have similar ranges. > summary(res) Mixture log(RR) (robust CI): $coefficients Estimate Std. Error Lower CI Upper CI Z value Pr(>|z|) (Intercept) 0.64553320 0.06497194 0.51819055 0.77287586 9.9355695 0.0000000 psi1 0.02124712 0.03407772 -0.04554398 0.08803822 0.6234902 0.5329624 > > res = qgcomp.noboot(deaths~x2+x1 + offset(logtime), expnms=c('x1', "x2"), data = dat, family=quasipoisson(), q=4) > res = qgcomp.glm.ee(deaths~x2+x1 + offset(logtime), expnms=c('x1', "x2"), data = dat, family=poisson(), q=4) > #res = qgcomp.glm.ee(deaths~x2+x1 , expnms=c('x1', "x2"), data = dat, family=quasipoisson(), q=4) > > > #TODO: offset > > proc.time() user system elapsed 21.43 0.93 22.43