From 73ab60827d69d9778a37e6a139a62abc8005cb26 Mon Sep 17 00:00:00 2001 From: Nicholas Clark Date: Thu, 31 Oct 2024 15:02:48 +1000 Subject: [PATCH] remove some redundant nmixture code --- R/add_nmixture.R | 87 -------------------------------------- src/RcppExports.o | Bin 0 -> 1453158 bytes src/trend_funs.o | Bin 0 -> 1710016 bytes tests/testthat/Rplots.pdf | Bin 1956923 -> 1956936 bytes 4 files changed, 87 deletions(-) create mode 100644 src/RcppExports.o create mode 100644 src/trend_funs.o diff --git a/R/add_nmixture.R b/R/add_nmixture.R index 36ae92be..dd991e26 100644 --- a/R/add_nmixture.R +++ b/R/add_nmixture.R @@ -114,10 +114,6 @@ add_nmixture = function(model_file, "Y_max[k] = max(flat_ys[K_inds[k, K_starts[k] : K_stops[k]]]);\n", "N_max[k] = max(cap[K_inds[k, K_starts[k] : K_stops[k]]]);\n", "}") - } else { - model_file[grep("transformed data {", model_file, fixed = TRUE)] <- - paste0("transformed data {\n", - "matrix[total_obs, num_basis] X_ordered = X[ytimes_array, : ];") } model_file <- readLines(textConnection(model_file), n = -1) @@ -379,26 +375,6 @@ add_nmix_model = function(model_file, model_file, fixed = TRUE)] model_file <- readLines(textConnection(model_file), n = -1) - } else { - model_file[grep('vector[n_nonmissing] flat_trends;', - model_file, fixed = TRUE)] <- paste0('vector[n_nonmissing] flat_trends;\n', - 'vector[n_nonmissing] flat_ps;\n', - 'int flat_caps[n_nonmissing];') - model_file <- readLines(textConnection(model_file), n = -1) - - model_file[grep('flat_trends = (to_vector(trend))[obs_ind];', - model_file, fixed = TRUE)] <- paste0('flat_trends = (to_vector(trend))[obs_ind];\n', - 'flat_ps = p[obs_ind];\n', - 'flat_caps = cap[obs_ind];') - model_file <- readLines(textConnection(model_file), n = -1) - - model_file[grep('flat_ys ~ poisson_log_glm(append_col(flat_xs, flat_trends),', - model_file, fixed = TRUE)] <- paste0('for (i in 1:n_nonmissing){\n', - 'target += pb_lpmf(flat_ys[i] | flat_caps[i], flat_trends[i], flat_ps[i]);\n', - '}') - model_file <- model_file[-grep('0.0,append_row(b, 1.0));', - model_file, fixed = TRUE)] - model_file <- readLines(textConnection(model_file), n = -1) } return(model_file) @@ -407,69 +383,6 @@ add_nmix_model = function(model_file, add_nmix_functions = function(model_file, trend_map, nmix_trendmap){ - if(nmix_trendmap){ - # If trend_map supplied, no modifications needed - } else { - if(any(grepl('functions {', model_file, fixed = TRUE))){ - model_file[grep('functions {', model_file, fixed = TRUE)] <- - paste0('functions {\n', - '/* Functions to return the log probability of a Poisson Binomial Mixture */\n', - '/* see Bollen et al 2023 for details (https://doi.org/10.1002/ece3.10595)*/\n', - 'real poisbin_lpmf(int count, int k, real lambda, real p) {\n', - 'if (count > k) {\n', - 'return negative_infinity();\n', - '}\n', - 'return poisson_log_lpmf(k | lambda) + binomial_logit_lupmf(count | k, p);\n', - '}\n', - 'vector pb_logp(int count, int max_k,\n', - 'real lambda, real p) {\n', - 'if (max_k < count)\n', - 'reject("cap variable max_k must be >= observed counts");\n', - 'vector[max_k + 1] lp;\n', - 'for (k in 0:(count - 1))\n', - 'lp[k + 1] = negative_infinity();\n', - 'for (k in count:max_k)\n', - 'lp[k + 1] = poisbin_lpmf(count | k, lambda, p);\n', - 'return lp;\n', - '}\n', - 'real pb_lpmf(int count, int max_k,\n', - 'real lambda, real p) {\n', - 'vector[max_k + 1] lp;\n', - 'lp = pb_logp(count, max_k, lambda, p);\n', - 'return log_sum_exp(lp);\n', - '}') - } else { - model_file[grep('Stan model code', model_file)] <- - paste0('// Stan model code generated by package mvgam\n', - 'functions {\n', - '/* Functions to return the log probability of a Poisson Binomial Mixture */\n', - '/* see Bollen et al 2023 for details (https://doi.org/10.1002/ece3.10595)*/\n', - 'real poisbin_lpmf(int count, int k, real lambda, real p) {\n', - 'if (count > k) {\n', - 'return negative_infinity();\n', - '}\n', - 'return poisson_log_lpmf(k | lambda) + binomial_logit_lupmf(count | k, p);\n', - '}\n', - 'vector pb_logp(int count, int max_k,\n', - 'real lambda, real p) {\n', - 'if (max_k < count)\n', - 'reject("cap variable max_k must be >= observed counts");\n', - 'vector[max_k + 1] lp;\n', - 'for (k in 0:(count - 1))\n', - 'lp[k + 1] = negative_infinity();\n', - 'for (k in count:max_k)\n', - 'lp[k + 1] = poisbin_lpmf(count | k, lambda, p);\n', - 'return lp;\n', - '}\n', - 'real pb_lpmf(int count, int max_k,\n', - 'real lambda, real p) {\n', - 'vector[max_k + 1] lp;\n', - 'lp = pb_logp(count, max_k, lambda, p);\n', - 'return log_sum_exp(lp);\n', - '}\n}\n') - } - } - model_file <- readLines(textConnection(model_file), n = -1) return(model_file) } diff --git a/src/RcppExports.o b/src/RcppExports.o new file mode 100644 index 0000000000000000000000000000000000000000..a3f83073dd9af55b52b27f00ac6cc4fa92b70a05 GIT binary patch literal 1453158 zcmeFa4|E;XbuKTj(#YmM$`=9~SUz0W@X|4iEhpN~2?>bAet`RH5ds?u3r+Spa1 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