The latest release of the SAMtool package is available on CRAN.

- RCM passes maturity at length parameters to operating model. While RCM only uses the corresponding age ogive, the OM later will back-calculate to retrieve the length parameters, but may not recover the original values.
- RCM passes selectivity at length to operating model. This is needed to simulate length data in the projection.
- Plot maturity at length and length-weight relationship in RCM output if fitted to sized data.
- Histograms exclude extreme outliers (samples greater than the 95th percentile if the skewness > 3).

- Under
`RCM_output`

tab in`plot(RCModel)`

, report simulations and convergence rate, and clean up comp plots. - Fix issue with F calcs when
`RCM(condition = "catch2")`

, introduced in version 1.6.0.

- Minor
`RCM`

updates to calculate fishery length comp when`CAL_n > 0`

and protect`plot.RCM`

from empty index vectors. - Update roxygen doc with markdown.

- Patch updates to tidy up RCM report to prevent empty length selectivity figures.
`Perfect`

uses spawn_timing to calculate spawning biomass (`exp(-spawn_time * M)`

) in the middle of projection year. Note that perfect HCR implementation needs to iteratively re-calculate the projection year biomass, B/BMSY, B/B0 (`exp(-spawn_time * [Ftarget + M])`

) when applying the HCR. Recommend spawn_time = 0 to implement HCR perfectly.- Update URLs to describe how to map index q in RCM.
- RCM no longer uses
`ObsPars$Isd`

. - Update yield curve calcs for RCM with fecundity and spawn timing.
- Update retrospective function for RCM (map dimensions changed in TMB).

- Add
`spawn_time_frac`

argument to RCM. - Add fleet-specific option for catch/effort conditioning to RCM.
- Allow map argument for index q
`RCM(map = list(q = c(1, 1)))`

. This example allows sharing q between 2 indices. Currently, q can only be an explicit estimated parameter (map argument is an integer), solved analytically (map argument is NA), or fixed to 1 (map argument is NA and additional specification in RCMdata@abs_I). - Add explicit selectivity for length (“logistic_length”, “dome_length”) or age-based (“logistic_age”, “dome_age”) functions. For backwards compatibility, “logistic” and “dome” map to their length-based equivalents.
- Update prior for the length or age of full selectivity to be
`x^0.01 * (1 - x)^0.01`

where x is the ratio of the length of full selectivity to Linf or age of full selectivity to maxage. - Update figures for RCM markdown reports.

- Add heat (red/blue) residuals for age comps in
`plot_composition(plot_type = "heat_residuals")`

. Also re-adjust default bubble residual size. - Switch back to TMB compilation with CppAD. TMBad appears to cause “file too big” errors with codecov.
- Import abind (already done by MSEtool)

- Fix indexing issue when estimating steepness post-hoc in
`SCA2`

and`VPA`

. - Return warning when arguments to
`make_MP`

don’t match formal arguments in`.Assess`

and`.HCR`

- Custom internal
`hist`

function will report NA rate (percent of NA’s) in a vector. Seen in markdown reports. - Internal
`max`

function excludes infinite values. Primarily used when generating axes limits in markdown reports. - Fix bugs when
`Data`

object is passed to`RCM`

. - Allow
`resample = TRUE`

with stochastic fits to`RCM`

.

- Add gridlines to markdown plots for easier viewing. Update some plots and re-organize tabs in RCM markdown report.
- Add a Gaussian penalty of
`dnorm(log(Shinge/min(SSB)), 0, 2)`

for hockey-stick SRR when the hinge point is less than the smallest SSB. - Convert zeros to 1e-8 when found in
`RCMdata@Chist`

. The trivially small catch still allows predictions of fishery age composition from Baranov equation. - Turn various RCM messages to warnings, e.g., for non-convergence, high F, etc.
- Fix bug in
`diagnostic`

introduced in 1.5.0.

- Add
`simulate`

method for RCM and assessment models. - New
`map`

and`start`

arguments for`RCM`

. - Add progress bar with timers for RCM and various diagnostic functions using
`pbapply`

. - Add hockey-stick stock-recruit relationship in
`RCM`

using the Mesnil and Rochet (2010) parameterization. - Users can now add lognormal priors for
`r`

and`MSY`

for surplus production models. - Update reporting of assessment output inside MSE. Use of data frames instead of lists should save space in the
`MSE`

object.

- Fix
`Data@CAL`

check when using`RCM`

. - Use
`Gmisc::fastDoCall`

when fitting models, e.g.,`SP_Fox`

.`Gmisc`

is a`Suggests`

package.

- RCM can now use multivariate logistic and Dirichlet multinomial distributions for fitting to age/length comps.
- Compile with TMBAD library.
- Import individual functions in NAMESPACE to avoid package conflicts.

- Patch in RCM markdown report for plotting fishery length composition.

- Require TMB 1.8 (need TMB package consistency between compilation and model fitting)

`RCM2MOM`

converts the output of`RCM`

to a multi-fleet operating model.- Vignette is now hosted online.
- Added a beta version of
`RCM_assess`

for using the RCM model as an assessment in closed-loop projections. More arguments will be added in the future for flexibility with model configuration. `make_project_MP`

creates management procedures that update TAC annually from stock assessment projections.`posterior`

wrapper function added to run MCMC of RCM models.`RCMstan`

updates OMs with MCMC output.

- Fix FSPR reporting
`Shortcut`

and`Perfect`

assessment functions. - Fix F calculation in
`HCR_segment`

with yield per recruit (F01 and Fmax). - Updates to
`interim_MP`

include adding NULL catch for catch advice and adding missing feature to report assessment output when`diagnostic = 'full'`

. - Create ability to specify output F in absolute magnitude (independent of model output) in
`HCR_segment`

and`HCR_ramp`

. - Uniform prior available for
`R0`

and`log(R0)`

for RCM models and assessment models. - Shared recruitment deviation parameters in
`RCM`

only enter the objective function once. - New correlation plots of estimated productivity parameters (steepness, M, R0, as well as depletion) in
`RCM`

reporting. - Clean up TMB code to fix clang-14 compiler warnings.

`SCA_RWM`

can accept multiple years to the`refyear`

argument, e.g.,`expression(1:Data@Year)`

. The model will calculate reference points (MSY, unfished values, and steepness) using the mean M during the specified years.- Fix bug in interim MPs to return
`NA`

in`Rec@TAC`

when multiple assessments do not converge.

- Update
`Shortcut`

indexing to align year of assessment with projection. An MP using the`Perfect`

assessment and`HCR_MSY`

annually will produce F = FMSY in the OM. - Stabilize
`VPA`

when the catch-at-age in the plusgroup and plusgroup-1 is very small.

`RCM`

will check age and length comp data for NA’s and replaces with zero`RCM`

reports annual equilibrium unfished reference points using constant stock recruit alpha and beta- Unlink TMB executable when unloading package
- Fix punctuation issue in markdown reports that use knitr v1.36.
- Other minor fixes

- The
`make_interim_MP`

function is added to generate MPs that adjust the TAC between periodic assessments using the index. - An additional posfun to
`SP`

is added to avoid negative biomass situations. - Fix sampling of recruitment deviations for projections in
`RCM`

so that the mean is one in normal space. This error was apparent when autocorrelation was very large. - Assessment and RCModel objects now save the package version as attributes.
- Shortcut function now reports year-specific reference points for the harvest control rule.
- HCR returns TAC = NA when a control point or target point is negative.

`HCR_segment`

allows for creating control rules with any number of linear segments.- Assign index beta = 1 for OMs conditioned by RCM.
- The ESS argument is re-instated for RCM to maintain backwards compatibility.
- Fix assignment of length bins in OM by
`RCM`

.

- A new S4 object,
`RCMdata`

, is used to send data to the RCM model, i.e.,`RCM(OM, RCMdata)`

. For now, backwards compatibility should still be maintained when feeding a data list (used prior to v1.2) to fit the model. - Internal R and TMB code for RCM has been revised, e.g., reducing interchangeability between the terms ‘survey’ and ‘index’ to focus on ‘index’ as much as possible when maintaining backwards compatibility.
- The
`profile`

generic is now available for`RCM`

models. Steepness, R0, and final depletion can be profiled. - Fixed plotting bug in
`compare_RCM`

. - Priors for index q in
`RCM`

are now lognormal instead of normal. - Annual equilibrium and transitional SPR are now calculated and reported.
- Uneven length bin widths are now supported.
- An example is added to the help documentation and online article, using Pacific cod (courtesy of R. Forrest).

- Priors on M, steepness, R0, and index q (lognormal, see RCM) can be created SCA, DD, and cDD assessment models.
- Likelihood weights to SCA assessments can now be provided for
`Catch`

,`CAA`

, and`CAL`

in addition to`Index`

in a named list`LWT`

. Backwards compatibility remains to provide`LWT`

as a vector for index likelihood weights only. - A new SCA assessment model that incorporates density-dependent natural mortality (
`SCA_DDM`

) is added. - A new SCA assessment model that fits to length composition (
`SCA_CAL`

) is added. - Delay-difference assessments (DD_TMB, DD_SS, cDD, cDD_SS) can now fit to mean weight with argument
`MW = TRUE`

. The functions will look for mean weight data series in`Data@Misc[[x]]$MW`

, otherwise will convert length composition`Data@CAL`

to weights and calculate annual means. - Delay-difference assessments (DD_TMB and DD_SS) now use an instantaneous F formulation for the catch equation instead of Pope’s approximation. The models should now be more robust for high F situations.
- Dynamic SSB0 is calculated for all assessment models.
- A variant of the shortcut assessment emulator for closed-loop simulation is available (
`Shortcut2`

). This function fits an SCA assessment and then characterizes the assessment error relative to the operating model using a vector autoregressive (VAR) model. The functions samples the operating model with error predicted from the VAR model for the projection period. This is a useful function to guide the level of error in the shortcut method.

- Additional OCP types in
`HCR_ramp`

are available to create harvest control rules based on dynamic B0, and F-based rules (F/FMSY, F/F01, F/F-SPR). - Added a shortcut function for a fixed escapement harvest control rule (
`HCR_escapement`

).

- Minor fix to vignette to fix MSEtool reverse dependency issue.

- Fix year range for depletion calculation from time-varying SSB0 in RCM.

- Edits to fix valgrind and sanitizer issues in TMB code.
- Likelihood gradients, the derivatives of the likelihood of each annual data point with respect to model parameters, are plotted in the RCM markdown report. For this purpose, the annual age or length composition is considered to be a single piece of data. This diagnostic could be informative on how informative the data are to model parameters, with more influential data points having larger gradients.
- When conditioned on effort, the
`RCM`

will now incorporate catches into the likelihood as a default. This allows the model to estimate F and R0 when conditioned on effort and there is patchy catch data.

- Development of the assessment models and OM conditioning model in SAMtool 1.0.0 continues from MSEtool 2.0.1.
`multiMSE`

remains in MSEtool. - The age structure of the SCA models (
`SCA`

,`SCA_Pope`

,`SSS`

) start at age 0 following the change in the MSEtool OM. - An additional SCA model (
`SCA_RWM`

) can be used to estimate time-varying M (constant with age) as a random walk. Fix the random walk SD to a low value to effectively estimate a time-constant M (see help page). - Warnings during the fit of the assessment models (through
`nlminb`

) are turned off. Convergence status and issues can be checked in the`conv`

slot of the output Assessment object. In closed-loop simulation, the`diagnostic`

function can be used to track the behavior of model-based MPs. By default, pre-packaged model-based MPs and MPs made from the`make_MP`

function are designed to report convergence info (stored in`MSE@PPD`

). - Assessment functions now calculate and report spawning potential ratio and yield per recruit in the forecast slot of the S4 object. Also in this slot is a catch equation function calculates the TAC for a given F.
- HCR nomenclature has changed. Operational control points (OCPs) are used instead of reference points (to help distinguish between reference points in the estimation model vs. the operating model. Various types of F can now be used in the HCR, including F0.1, Fmax, and FSPR, in addition to FMSY for the TAC calculation.
- A
`Shortcut`

assess function samples the OM with error and autocorrelation for HCRs as an emulator of a stock assessment in closed-loop simulation. The`Perfect`

function samples the OM without error. - All assessment models now accommodate multiple indices in model fitting, specify in the
`AddInd`

argument of functions which index slots in the Data object will be used among Data@Ind, Data@SpInd, Data@VInd, and Data@AddInd. Within series weighting is applied by using the corresponding CV slot, i.e., Data@CV_Ind for Data@Ind, etc. Among series weighting can also be tuned using likelihood weights with`LWT`

argument. For SCA and VPA models, the selectivity is fixed in the model using Data@AddIndV for indices in Data@AddInd.

- The function for the OM conditioning model is now re-named to
`RCM`

(Rapid Conditioning Model). - The age structure of the model now starts at age 0, following the change in the MSEtool OM. The dimension associated with age in matrices and arrays need to be of length
`maxage + 1`

which corresponds to ages 0 to maxage. - When estimating fleet F in the model (
`condition = "catch"`

), the likelihood for the catch can now have a user-defined standard deviation indicated in`data$C_sd`

(year and fleet specific, the previous default was 0.01 was built-in for all catches). - For generating length comps, variability in length-at-age can now be age-specific. Specify the length-at-age standard deviation in
`OM@cpars$LatASD`

. - Priors for log_R0 (normal distribution), steepness (beta distribution for Beverton-Holt, normal for Ricker), log_M (age and time constant, normal), and survey q (normal) can now be specified.