Test project - D70Cluster solutions #30
Description
Here is a summary of the current state of this project's conversion:
> cc <- convert_project("inst/D70Cluster-solutions/D70Cluster\\ solutions")
Warning messages:
1: In create_bins(data, cuts) :
Some distances were outside bins and have been removed.
2: In create_bins(data, cuts) :
Some distances were outside bins and have been removed.
3: In create_bins(data, cuts) :
Some distances were outside bins and have been removed.
4: In create_bins(data, cuts) :
Some distances were outside bins and have been removed.
5: In create_bins(data, cuts) :
Some distances were outside bins and have been removed.
> lapply(cc, test_stats, 1:2)
$`E(s) by ln(s)_g(x)`
Statistic Distance_value mrds_value Difference Pass
1 n 88 88 0 ✓
2 parameters 2 2 0 ✓
3 AIC 318.723114 318.723592371443 0.000001544825 ✓
4 Chi^2 p 0.910453618 0.91039363727 0.00006586028 ✓
5 P_a 0.60346657 0.6033303633 0.0002257569 ✓
6 CV(P_a) 0.115353502 0.116068874 0.006201585 ✓
7 log-likelihood -157.3616 -157.3618 0 ✓
8 density 0.04991125 0.05288417 0.05956412
9 CV(density) 0.2732261 0.2822108 0.0328839
10 individuals 35702 37828.8928853 0.05957349
11 CV(individuals) 0.2732261 0.2822108 0.0328839
$`truncation E(s)`
Statistic Distance_value mrds_value Difference Pass
1 n 88 88 0 ✓
2 parameters 2 2 0 ✓
3 AIC 318.723114 318.723592371443 0.000001544825 ✓
4 Chi^2 p 0.910453618 0.91039363727 0.00006586028 ✓
5 P_a 0.60346657 0.6033303633 0.0002257569 ✓
6 CV(P_a) 0.115353502 0.116068874 0.006201585 ✓
7 log-likelihood -157.3616 -157.3618 0 ✓
8 density 0.04889474 0.05613537 0.1480861
9 CV(density) 0.2811504 0.28221084 0.00377179 ✓
10 individuals 34975 40154.5286836 0.1480923
11 CV(individuals) 0.2811504 0.28221084 0.00377179 ✓
$`Post-stratified E(s)_pooled f(0)_regr`
Statistic Distance_value mrds_value Difference Pass
1 n 88 88 0 ✓
2 parameters 2 2 0 ✓
3 AIC 318.723114 318.723592371443 0.000001544825 ✓
4 Chi^2 p 0.910453618 0.91039363727 0.00006586028 ✓
5 P_a 0.60346657 0.6033303633 0.0002257569 ✓
6 CV(P_a) 0.115353502 0.116068874 0.006201585 ✓
7 log-likelihood -157.3616 -157.3618 0 ✓
8 density 0.05239987 0.06367114 0.2151011
9 CV(density) 0.2323008 0.25120064 0.08135935
10 individuals 37482 45544.9831029 0.2151161
11 CV(individuals) 0.2323008 0.25120064 0.08135935
$`Post-stratified E(s)_strat f(0)_regr`
Statistic Distance_value mrds_value Difference Pass
1 n 88 88 0 ✓
2 parameters 6 4 0.3333333
3 AIC 317.379913 315.78955667 0.005010851 ✓
4 log-likelihood -152.69 -153.8948 0 ✓
5 density 0.05403275 0.06260623 0.1586719
6 CV(density) 0.2474518 0.3224963 0.3032693
7 individuals 38650 44783.2363988 0.1586866
8 CV(individuals) 0.2474518 0.3224963 0.3032693
$`Post-stratified E(s) using mean `
Statistic Distance_value mrds_value Difference Pass
1 n 88 88 0 ✓
2 parameters 2 2 0 ✓
3 AIC 318.723114 318.7235923714 0.0000015009 ✓
4 Chi^2 p 0.910453618 0.91039363727 0.00006586028 ✓
5 P_a 0.60346657 0.6033303633 0.0002257569 ✓
6 CV(P_a) 0.115353502 0.116068874 0.006201585 ✓
7 log-likelihood -157.3616 -157.3618 0 ✓
8 density 0.0593492 0.06367114 0.07282216
9 CV(density) 0.2451316 0.2512006 0.0247583
10 individuals 42453 45544.98310289 0.07283309
11 CV(individuals) 0.2451316 0.2512006 0.0247583
Comments:
- Still descrepencies here for density and individual estimates, so there is still something not quite right in
group_size_est. - Note that
Post-stratified E(s)_strat f(0)_regris a bit odd as it estimates detection functions separately in each cluster size stratum. See also this comment and this issue in MCDS documentation.